Postdoctoral scholar jobs in Knoxville, TN

Be visionary Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. Job Description Job Summary: Performs and/or directs others in the installation, operation, repair and servicing of laboratory and field prototype models and test equipment. Conducts a variety of complex tests. Works independently and with technical managers, chemists, and laboratory technicians. Required to make independent decisions on implementing and coordinating the work assigned. Performs complex jobs and coordinates tasks of lower rated employees when required. Demonstrates knowledge of laboratory safety protocol and is takes lead role with customers and co-workers with questions around proper procedures and established protocols. Essential Duties and Responsibilities include the following, but not limited to: * Conducts the most complicated tests developing specific methods in accordance with the general test requirements and approved procedures. * Secures and reviews all available information to become familiar with test objectives and to set up test equipment. * Aligns or coordinates alignment of instruments and equipment with items to be tested and records data as the test progresses. * Performs routine instrument maintenance. * Updates logbook documenting instrument and equipment performance. * Observes equipment for indications of failure or malfunction and repairs or adjusts components as required. * Conducts complicated tests or portions thereof, in accordance with approved test procedures. * Prepares test reports covering the results of tests conducted. Writes comprehensive description of test setup and procedures used, pertinent observations, and test results. * Performs other job-related duties as assigned. * Stops work without fear of reprisal for unsafe conditions potentially affecting personnel safety or environmental risk. * Qualify and maintain proficiency as a Laboratory Technician. * Ensures good housekeeping and combustible loading requirements are met. * Conducts process operations in accordance with approved programs, procedures, and As Low as Reasonably Achievable principles. * Perform work as a laboratory technician responsible for preparing reagents, columns, and lab consumables. * Track lab inventory of consumables and supplies and restock as necessary. * Perform sample dilutions and sample preparation support. * Performs walkdowns and validations for laboratory processes and procedures. * Assist Technical Support Manager in interpreting sample results and maintaining product data reports. * Supports the execution of Integrated Safety Management System (ISMS) guiding principles and core functions and the Isotek Safety Culture. * Notifies Isotek Management of incidents, occurrences, abnormal occurrences, deficiencies, non-conformances and other noteworthy conditions or activities, as required. Nonessential Duties and Responsibilities Supervisory Responsibilities This job has no supervisory responsibilities, however, will mentor and provide high level technical training and guidance to employees within the department. Competencies To perform the job successfully, an individual should demonstrate the following competencies: * Oral/Written Communication - Listens and gets clarification; Responds well to questions; Records data; Writes clearly and informatively; Able to read and interpret written information. * Teamwork - Gives and welcomes feedback; Contributes to building a positive team spirit; Supports everyone's efforts to succeed. * Ethics - Treats people with respect; Works with integrity and ethically. * Organizational Support - Follows policies and procedures; Supports organization's goals and values. * Planning/Organizing - Uses time efficiently. * Professionalism - Approaches other in a tactful manner; Accepts responsibility for own actions; Follows through on commitments. * Quality - Demonstrates accuracy and thoroughness; Applies feedback to improve performance; Monitors own work to ensure quality. * Quantity - Meets productivity standards; Completes work in a timely manner; Strives to increase productivity. * Laboratory Safety and Security - Observes safety and security procedures including using Personal Protective Equipment (PPE) as required and wearing company issued badge when on company property; Reports potentially unsafe conditions; Uses equipment and material properly. * Adaptability - Adapts to changes in the work environment. * Dependability - Follows instructions, responds to management direction. * Attendance/Punctuality - Is consistently at work and on time. * Initiative - Asks for and offers help when needed * Microsoft Office - Basic knowledge of all Microsoft Office programs. Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education and/or Experience Applicant is required to have either: * College degree (Bachelor's Degree) in related or specialized field; Minimum of 2 years of experience, and/or training; or equivalent combination of education and experience. * Associates degree in related or specialized field; minimum of 4 years' experience, and/or training or equivalent combination of education and experience. Language Skills * Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. * Ability to write routine reports and correspondence. * Ability to speak effectively with other employees of organization. Knowledge * Science knowledge of chemistry or related science to conduct laboratory work such as testing and water samples. * Mechanical knowledge to maintain and troubleshoot laboratory equipment. Mathematical Skills * Ability to add, subtract, multiply and divide in all units of measure, using whole numbers, common fractions, and decimals. * Ability to collect samples and analyze results (intermediate math). Reasoning Ability * Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. * Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Other Essential Duties * Follows all import/export requirements, consulting with facility import/export personnel as required. Other Skills and Abilities * Basic Knowledge of ISO and/or AS9100 * Working knowledge of Lean Manufacturing/6 Sigma/Kaizen * Knowledge of specific software (design, analysis, ERP…) Other Qualifications * Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. * Applicants must have the ability to obtain and maintain a DOE "L" clearance. * US Citizenship required with ability to attain/maintain government security clearance. * Ability to travel (domestically/internationally) approximately _+/-10__% #TBE Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions. Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.

Emerging Markets Strategy / Strategic Markets is not eligible for recruiting or sourcing by outside parties. Disclaimer: Be cautious and only respond to emails from our “mesainc.com” domain. We will never ask for sensitive information, such as bank account details, SSN, etc., via email. If you receive any communication asking for such information, it is not from Mesa. For any concerns, or to verify the authenticity of a message, please contact us through our official channels. We've got the power to energize Your career and spark YOUR Work/Life Balance through professional development and exceptional benefits. Don't delay, plug in today for an inclusive meaningful career in power, distribution, transmission, engineering, design, technology, or innovation at Mesa Associates, Inc. Specific Project Delivery Capabilities:　 Team player with ability to integrate with the A/AI group as the resident causation expert Provide expert level knowledge in the development of customer facing solutions enabled by causation models/graphs Assist team in avoiding incorrect insights built only on statistics without causation models/graphs Interest in maintaining knowledge of new/improved causation tools and techniques Integrate seamlessly with database managers, data analysts, ML practitioners, and other programmers by having a solid understand of programming tools/methodologies Specific Software Skills:　 Proficient in Python and relevant causation and statistics libraries Basic knowledge of SQL and relational databases Understanding of version control systems (git, SVN, etc.) Strong knowledge of Microsoft Office 365 programs (Excel, Word, PowerPoint, SharePoint, PowerApps, Visio) General Requirements:　 Works under the direction of a Program Manager or Technical Manager. Communicates effectively with internal/external stakeholders. Coordinates/communicates effectively with peers and able to effectively integrate and work in a team environment. Notice to External Search Firms: Mesa Associates, Inc. and its subsidiaries do not accept unsolicited resumes and will not be obligated to pay a placement fee for unsolicited resumes. Mesa Associates, Inc. Talent Acquisition engages with approved search firms directly for specific hiring needs.

Graduate Registered Nurse Associate, Neuroscience Full Time, 72 Hours Per Pay Period, Day Shift Fort Sanders Regional Medical Center is a 444-bed hospital recognized for pairing clinical expertise with advanced medical technology to deliver exceptional care. As a Joint Commission Comprehensive Stroke Center, we provide leading-edge treatment for stroke recovery. Our facility also offers specialized services in bariatric surgery, robotic surgery, minimally invasive spine procedures, and advanced orthopedic care. Fort Sanders Regional is part of Covenant Health, East Tennessee's largest nonprofit health system and a Becker's “Top 150 Places to Work in Healthcare.” Covenant Health includes nine hospitals and nearly 150 service locations, offering employees a comprehensive benefits package with tuition reimbursement, student loan assistance, certification bonuses, and leadership development programs. Position Summary: This position is designed to facilitate the transition upcoming graduates of an accredited nursing program into the work force. Performs a wide variety of patient care activities and supportive services under the supervision of a registered nurse (RN). Recruiter: Lacey Spoon || ***************** Responsibilities Demonstrates competence in performing critical skills (appropriate delegation grid competency checklist) to include appropriate delivery of care according to age-specific needs of the population served. Takes and records temperature, pulse, respiration, blood pressure, weight, height and intake-output measurements. Documents oxygen saturation if patient is connected to continuous pulse oximetry. Employs all established infection control policies including standard precautions, transmission-based isolation precautions, OSHA standards, safety measures and proper body mechanic in performance of job. Completes designated patient care activities and provides for patient comfort and privacy. Identifies and assists patients that need assistance with nutrition and/or hydration. If trained and competency demonstrated, empties drains, canisters, urine bags, bedpans and emesis basins and records intake and output. Helps to maintain clean and orderly patient and work environment. Assists RN in obtaining a thorough nursing history on assigned patients. Demonstrates effective therapeutic communication skills. Documents/maintains patient record as appropriate. Basic charting, admission history, basic observations under guidance of RN. Observes and reports significant changes in patient condition to RN. Obtains RN signature on all entries. Completes assigned tasks with minimal supervision but seeks guidance when uncertain how to perform procedure. Communicates suggestions and/or complaints through appropriate channels. Displays cooperation, flexibility and positive behavior to patients and other staff members. Demonstrates ability to effectively perform under stress. Follows policies, procedures, and safety standards. Completes required education assignments annually. Works toward achieving goals and objectives and participates in quality improvement initiatives as requested. Performs other duties as assigned. Qualifications Minimum Education: Must have graduated from an accredited registered nursing education program. Minimum Experience: None required but able to perform as nursing assistant; previous hospital experience preferred. Must be able to operate computer and possess excellent interpersonal skills. Licensure Requirement: CPR required.

Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and photosynthesis to join the new pilot study of Generative Pretrained Transformer for genomic photosynthesis (GPTgp). The GPTgp project aims to develop a foundational holistic model of photosynthesis that will scale from plant genomics to phenomics with biological mechanisms embedded in deep neutral networks. GPTgp will allow task-specific training and transfer learning across reactions, pathways, biodesigns, and species. It can be fine-tuned for downstream applications such as predicting genetic perturbations, optimizing photosynthetic apparatus for performance, selecting top performing genotypes for various environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and physiologists, and data scientists to tackle fundamental issues in AI/ML-based photosynthesis research and applications. The selected scientist will have access to the world's most advanced resources in computing ( https://www.olcf.ornl.gov/frontier ) and plant phenotyping ( https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will initially last for two years. It is expected that the success of this pilot project will pave the way for future, much broader and deeper AI/ML-based research and applicational efforts in genomic photosynthesis. Major Duties/Responsibilities : * Compile and organize diverse multiscale datasets from plant genomics to phenomics. * Develop and test different tokenization and embedding strategies for multimodal plant datasets for training a foundational model of genomic photosynthesis. * Develop functionality requirements for a data lakehouse for AI genomic photosynthesis research and applications. * Assist in the development of AI architecture for holistic genomic photosynthesis modeling. * Evaluate performances of AI genomic photosynthesis models. * Report advances to program management and broader scientific communities. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications : * A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer / computational science or related field completed within the last five years. * Experience in AI/ML. * Skills in a programing language are commonly used in AI/ML. Preferred Qualifications: * Deep experience in developing large language models. * Experience in DNA and protein AI/ML models and multimodal datasets. * Knowledge in different deep learning architectures, tokenization and embedding methods. * Experience in dimensional reduction methods and visualization tools. * Effective writing and communication skills as demonstrated in publication and presentation. * Demonstrated ability to work both independently and collaboratively as part of a multidisciplinary team. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 12 months with the potential for an extension of up to 24 months. Initial appointments and extensions are subject to performance and the availability of funding. Please upload the following materials directly to your application: a one-page research statement, a list of no more than three most important publications (dissertation is considered, please attach a copy if not available online), and a list of three referees. Instructions to upload documents to your candidate profile: * Login to your account via jobs.ornl.gov * View Profile * Under the My Documents section, select Add a Document For more information, please contact Lianhong-gu@ornl.gov. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. ","@type":"JobPosting","responsibilities":" ","valid Through":"2025-12-14T00:00:00-05:00","title":"Postdoctoral Research Associate - AI for Genomic Photosynthesis","date Posted":"2025-11-13T01:55:12-05:00"} Return to Search Results Expand Show Other Jobs Job Saved Save Job Postdoctoral Research Associate - AI for Genomic Photosynthesis Oak Ridge National Laboratory APPLY NOW Application First Name Last Name Email address Captcha / Bot check: Copy from here ...to here Click to hear these letters. What is this? Apply on Employer's Site The application opened in a new tab. You may close this popup. By using this feature you agree to our Terms and Conditions and Privacy Policy. Details Posted: 13-Nov-25 Location: Oak Ridge, Tennessee Type: Full Time Salary: Discussed at a later date Area of Focus: Other Required Education: Doctorate Internal Number: 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and photosynthesis to join the new pilot study of Generative Pretrained Transformer for genomic photosynthesis (GPTgp). The GPTgp project aims to develop a foundational holistic model of photosynthesis that will scale from plant genomics to phenomics with biological mechanisms embedded in deep neutral networks. GPTgp will allow task-specific training and transfer learning across reactions, pathways, biodesigns, and species. It can be fine-tuned for downstream applications such as predicting genetic perturbations, optimizing photosynthetic apparatus for performance, selecting top performing genotypes for various environmental conditions, and predicting photosynthesis at multiple scales. The selected postdoctoral scientist will work with a team of mathematicians, computational scientists, plant geneticists and physiologists, and data scientists to tackle fundamental issues in AI/ML-based photosynthesis research and applications. The selected scientist will have access to the world's most advanced resources in computing (https://www.olcf.ornl.gov/frontier) and plant phenotyping (https://www.ornl.gov/appl). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will initially last for two years. It is expected that the success of this pilot project will pave the way for future, much broader and deeper AI/ML-based research and applicational efforts in genomic photosynthesis. Major Duties/Responsibilities: * Compile and organize diverse multiscale datasets from plant genomics to phenomics. * Develop and test different tokenization and embedding strategies for multimodal plant datasets for training a foundational model of genomic photosynthesis. * Develop functionality requirements for a data lakehouse for AI genomic photosynthesis research and applications. * Assist in the development of AI architecture for holistic genomic photosynthesis modeling. * Evaluate performances of AI genomic photosynthesis models. * Report advances to program management and broader scientific communities. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: * A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer / computational science or related field completed within the last five years. * Experience in AI/ML. * Skills in a programing language are commonly used in AI/ML. Preferred Qualifications: * Deep experience in developing large language models. * Experience in DNA and protein AI/ML models and multimodal datasets. * Knowledge in different deep learning architectures, tokenization and embedding methods. * Experience in dimensional reduction methods and visualization tools. * Effective writing and communication skills as demonstrated in publication and presentation. * Demonstrated ability to work both independently and collaboratively as part of a multidisciplinary team. Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 12 months with the potential for an extension of up to 24 months. Initial appointments and extensions are subject to performance and the availability of funding. Please upload the following materials directly to your application: a one-page research statement, a list of no more than three most important publications (dissertation is considered, please attach a copy if not available online), and a list of three referees. Instructions to upload documents to your candidate profile: * Login to your account via jobs.ornl.gov * View Profile * Under the My Documents section, select Add a Document For more information, please contact Lianhong-gu@ornl.gov. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

Requisition Id 15422 The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL's mission. Specific responsibilities include: * Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications * Delivery and support of mathematical technologies for various scientific disciplines and applications * Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations * Active participation in professional organizations Basic Qualifications: * A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years Preferred Qualifications: * Experience in one more of the following areas: * Mathematical tools for data analysis * Numerical methods for differential and integral equations * Modern machine learning software tools and frameworks * Implementation of scalable numerical algorithms on HPC architectures * Excellent written and verbal communication and interpersonal skills. * The ability to obtain and maintain a DOE Security Clearance Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Instructions to Apply: Please submit a cover letter, curriculum vitae, research statement, and three letters of reference when applying to this position. You may upload these documents directly to your application or have them sent to *************************** with the position title and number referenced in the subject line. For full consideration, please submit materials by November 1, 2025. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. #LI-DC1 This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ***********************. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

The Department of Physics and Astronomy at the University of Tennessee, Knoxville, invites applications for a Postdoctoral Research Associate in Computational Astrophysics, starting August 2026 (or earlier by mutual agreement). This is a grant funded position. The project aims to enable large-scale, multiphysics simulations of core-collapse supernovae (CCSNe) and related problems in general relativistic astrophysics. The postdoctoral researcher will join a multidisciplinary team of physicists, applied mathematicians, and computational scientists to develop computational tools that will enhance our understanding of CCSNe and provide improved predictions of their neutrino and gravitational-wave signals. Required Qualifications: Ph.D. in physics, astrophysics, mathematics, computational physics, or a closely related field, to be completed before the start of employment. Applicants who expect to complete their degree by the start date are encouraged to apply. Demonstrated ability to publish research in peer-reviewed journals (preferably with lead-author publications). Programming experience in C, C++ or Fortran. Broad understanding of building computational tools for scientific investigation. Experience with implementing and testing numerical methods for solving partial differential equations. Preferred Qualifications Experience with parallel programming (e.g., MPI, OpenMP). Experience with GPU programming (e.g., CUDA, OpenACC). Experience with adaptive mesh refinement frameworks (e.g., AMReX). Experience with advanced time integration libraries (e.g., SUNDIALS). Work Location The postdoctoral researcher will be based at the University of Tennessee, Knoxville, and will collaborate closely with the UTK-ORNL astrophysics group, which includes physicists, applied mathematicians, and computational scientists. This is an in-person position. Compensation and Benefits Find more information on UT Benefits here Travel support for conferences and workshops. Mentoring opportunities with graduate and undergraduate students. Access to world-class HPC facilities through group allocations. Application Instructions For best consideration applicants should submit the below materials before December 1, 2025. Cover letter Curriculum vitae, including list of publications Research statement At least two letters of recommendation About The Department The Physics and Astronomy Department has an exemplary research record, with eight professors earning NSF CAREER awards since 2012, eight professors among the world's top two percent of physicists based on citation count, the award of the prestigious American Physical Society 2021 Bonner Prize, eleven APS Fellows, and four AAAS Fellows. The University of Tennessee, Knoxville is Tennessee's flagship state research institution, a campus of choice for outstanding undergraduates and a premier graduate institution with a number of nationally and internationally ranked programs and with national and international leadership in numerous fields. The successful candidate will contribute to the design, implementation, and application of novel methods for relativistic neutrino kinetics within the toolkit for high-order neutrino-radiation hydrodynamics ( thornado ). The project emphasizes advanced numerical techniques, including discontinuous Galerkin discretization and implicit-explicit time-stepping, combined with adaptive mesh refinement and multiscale time integration, for deployment on high-performance computing (HPC) systems. The UTK-ORNL astrophysics group has a strong track record of securing time on leadership-class HPC systems, including the Oak Ridge Leadership Computing Facility (OLCF) and the National Energy Research Scientific Computing (NERSC) center. The postdoc will play an active role in the preparation and execution of large-scale computational campaigns on these resources.

**Be visionary** Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research. We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. **Job Description** **Job Summary:** Performs and/or directs others in the installation, operation, repair and servicing of laboratory and field prototype models and test equipment. Conducts a variety of complex tests. Works independently and with technical managers, chemists, and laboratory technicians. Required to make independent decisions on implementing and coordinating the work assigned. Performs complex jobs and coordinates tasks of lower rated employees when required. Demonstrates knowledge of laboratory safety protocol and is takes lead role with customers and co-workers with questions around proper procedures and established protocols. **Essential Duties and Responsibilities** include the following, but not limited to: + Conducts the most complicated tests developing specific methods in accordance with the general test requirements and approved procedures. + Secures and reviews all available information to become familiar with test objectives and to set up test equipment. + Aligns or coordinates alignment of instruments and equipment with items to be tested and records data as the test progresses. + Performs routine instrument maintenance. + Updates logbook documenting instrument and equipment performance. + Observes equipment for indications of failure or malfunction and repairs or adjusts components as required. + Conducts complicated tests or portions thereof, in accordance with approved test procedures. + Prepares test reports covering the results of tests conducted. Writes comprehensive description of test setup and procedures used, pertinent observations, and test results. + Performs other job-related duties as assigned. + Stops work without fear of reprisal for unsafe conditions potentially affecting personnel safety or environmental risk. + Qualify and maintain proficiency as a Laboratory Technician. + Ensures good housekeeping and combustible loading requirements are met. + Conducts process operations in accordance with approved programs, procedures, and As Low as Reasonably Achievable principles. + Perform work as a laboratory technician responsible for preparing reagents, columns, and lab consumables. + Track lab inventory of consumables and supplies and restock as necessary. + Perform sample dilutions and sample preparation support. + Performs walkdowns and validations for laboratory processes and procedures. + Assist Technical Support Manager in interpreting sample results and maintaining product data reports. + Supports the execution of Integrated Safety Management System (ISMS) guiding principles and core functions and the Isotek Safety Culture. + Notifies Isotek Management of incidents, occurrences, abnormal occurrences, deficiencies, non-conformances and other noteworthy conditions or activities, as required. **Nonessential Duties and Responsibilities** **Supervisory Responsibilities** This job has no supervisory responsibilities, however, will mentor and provide high level technical training and guidance to employees within the department. **Competencies** To perform the job successfully, an individual should demonstrate the following competencies: + Oral/Written Communication - Listens and gets clarification; Responds well to questions; Records data; Writes clearly and informatively; Able to read and interpret written information. + Teamwork - Gives and welcomes feedback; Contributes to building a positive team spirit; Supports everyone's efforts to succeed. + Ethics - Treats people with respect; Works with integrity and ethically. + Organizational Support - Follows policies and procedures; Supports organization's goals and values. + Planning/Organizing - Uses time efficiently. + Professionalism - Approaches other in a tactful manner; Accepts responsibility for own actions; Follows through on commitments. + Quality - Demonstrates accuracy and thoroughness; Applies feedback to improve performance; Monitors own work to ensure quality. + Quantity - Meets productivity standards; Completes work in a timely manner; Strives to increase productivity. + Laboratory Safety and Security - Observes safety and security procedures including using Personal Protective Equipment (PPE) as required and wearing company issued badge when on company property; Reports potentially unsafe conditions; Uses equipment and material properly. + Adaptability - Adapts to changes in the work environment. + Dependability - Follows instructions, responds to management direction. + Attendance/Punctuality - Is consistently at work and on time. + Initiative - Asks for and offers help when needed + Microsoft Office - Basic knowledge of all Microsoft Office programs. **Qualifications** To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. **Education and/or Experience** Applicant is required to have either: + College degree (Bachelor's Degree) in related or specialized field; Minimum of 2 years of experience, and/or training; or equivalent combination of education and experience. + Associates degree in related or specialized field; minimum of 4 years' experience, and/or training or equivalent combination of education and experience. **Language Skills** + Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. + Ability to write routine reports and correspondence. + Ability to speak effectively with other employees of organization. **Knowledge** + Science knowledge of chemistry or related science to conduct laboratory work such as testing and water samples. + Mechanical knowledge to maintain and troubleshoot laboratory equipment. **Mathematical Skills** + Ability to add, subtract, multiply and divide in all units of measure, using whole numbers, common fractions, and decimals. + Ability to collect samples and analyze results (intermediate math). **Reasoning Ability** + Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. + Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. **Other Essential Duties** + Follows all import/export requirements, consulting with facility import/export personnel as required. **Other Skills and Abilities** + Basic Knowledge of ISO and/or AS9100 + Working knowledge of Lean Manufacturing/6 Sigma/Kaizen + Knowledge of specific software (design, analysis, ERP...) **Other Qualifications** + Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified information or matter. + Applicants must have the ability to obtain and maintain a DOE "L" clearance. + US Citizenship required with ability to attain/maintain government security clearance. + Ability to travel (domestically/internationally) approximately _+/-10__% \#TBE Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions. Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws. You may not realize it, but Teledyne enables many of the products and services you use every day **.** Teledyne provides enabling technologies to sense, transmit and analyze information for industrial growth markets, including aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, energy, medical imaging and pharmaceutical research.

Requisition Id 15684 We are seeking a Postdoctoral Research Associate to help advance our understanding of quantum magnetic materials through materials synthesis and characterization. Research will involve growth of single crystals and measurements to understand their structural and physical properties including magnetism and thermal transport, as well as helping to identify new magnetic materials that may serve as model systems displaying quantum behaviors. It will also provide opportunities for collaboration with quantum computing efforts within the Quantum Science Center, guiding and experimentally validating simulations efforts for quantum spin systems. This position resides in the Correlated Electron Materials Group in the Materials Science and Technology Division, Physical Sciences Directorate at ORNL, and provides the opportunity to collaborate with researchers from diverse backgrounds, including condensed matter theorists and experimentalists performing materials synthesis, device fabrication, and neutron scattering, and other advanced characterization. The position is supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Science Center. The Quantum Science Center (QSC) is headquartered at the Department of Energy's Oak Ridge National Laboratory, which is managed by UT-Battelle for the DOE Office of Science. By uniting national laboratories, academic institutions and industry partners, the QSC is endeavoring to advance American innovation and global leadership by enhancing the computational robustness, algorithmic scalability and simulation accuracy of quantum computing systems. For more information, visit qscience.org. Major Duties/Responsibilities: * Lead and contribute to collaborative research projects involving synthesis and characterization of bulk materials to understand structural, electronic, and magnetic properties. This includes identifying candidate materials and developing ideas for tuning them toward interesting ground states and behaviors. * Lead the writing of research papers resulting from your work with support from the group and collaborators, and present research results at scientific conferences. * Collaborate with researchers outside of our group from diverse backgrounds, within and external to ORNL, including condensed matter theorists and scientists performing device design and fabrication, microscopy, spectroscopy, and neutron scattering. * Help maintain lab space and equipment including Quantum Design measurement systems. * Work safely and independently within a supportive group setting. * Ensure compliance with environment, safety, health and quality program requirements * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: * PhD in physics, applied physics, material science, chemistry, chemical or electrical engineering, or a related discipline completed within the last five years. * Background in experimental materials physics research, including materials synthesis and laboratory-based characterization of physical properties (magnetic, transport, crystallographic, thermal, optical). Preferred Qualifications: * Experience with bulk single crystal growth of inorganic materials. * Understanding of crystal growth mechanisms and the underlying materials design principles that guide the synthesis of quantum materials. * Skilled in characterization and analysis of magnetic and thermal transport properties. * Experience operating and maintaining Quantum Design instruments. * Familiarity with the health and safety hazards associated with an experimental condensed matter laboratory that houses an extensive synthesis effort. * Publication record demonstrating an ability to effectively and efficiently report scientific results. * Excellent written and oral communication skills. * Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Letters of Recommendation: Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to *************************** with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: * Login to your account via jobs.ornl.gov * View Profile * Under the My Documents section, select Add a Document Security, Credentialing, and Eligibility Requirements: * This position requires the ability to obtain and maintain an HSPD-12 PIV badge. * For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. * Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. * To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: * If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. * Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

The Clasen lab in the Department of Microbiology at UTK is seeking a post-doctoral researcher with expertise in adaptive/cell-mediated immunology. The lab studies the relationship between the host immune system and the commensal microbes that colonize the intestinal tract. We seek to understand how the host tolerates these organisms and what conditions break tolerance. To address these questions, we employ a combination of techniques in molecular biology and immunology, next generation sequencing, and in vitro and in vivo models. This position is well-suited for an individual with research experience studying mucosal immunity who has strong communication and organizational skills and enjoys working in a team environment. For more information, contact Dr. Clasen: *************** Salary for this full-time position is commensurate with skills and experience and is eligible for benefits from the University of Tennessee. Minimum Required Education and Experience: Doctoral degree in an immunology-related field Minimum Required Skills and Abilities: Ability to be respectful, collegial, and work well with colleagues from diverse backgrounds Understanding of basic laboratory safety procedures Excellent written and verbal communication skills Willingness to work with animals Ability to perform the essential functions of the job as outlined in the duties/responsibilities Flow cytometry/FACS experience Routine molecular biology/immunology techniques Animal handling experience Preferred Skills and Abilities: Knowledge of T cell biology Additional Information: To apply, please submit the following documents with the online application, along with emailing Dr. Sara Clasen (***************) the requested documents. Email subject line should read “Research Assistant Position.” CV Contact information for three professional references Review of applications will begin immediately and continue until the position is filled. This position entails contributing to the daily operations of the lab. Specific responsibilities may include, but are not limited to: Ordering and maintaining lab supplies Organizing and maintaining lab space and databases Supporting new lab members and experimental projects This position will be expected to perform and troubleshoot experiments and maintain detailed laboratory records. Techniques may include, but are not limited to: Mouse organ dissection and preparation of cells and tissues for downstream assays Protein analysis (ELISA, western blot, immunoprecipitation) Cell analysis (cell sorting/separation, flow cytometry) Bacterial culturing (aerobic and anaerobic) Molecular biology techniques (cloning, DNA/RNA extraction, PCR) Microscopy Cell culture (2D and 3D) This position must be willing to work with animals and will be expected to maintain mouse colonies. Specific responsibilities may include, but are not limited to: Serving as the primary health contact for animals Maintaining a detailed inventory of mouse colonies and ongoing breeding Tagging, weaning, and genotyping mice

Requisition Id 15421 The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and uncertainty quantification. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL's mission. Specific responsibilities include: * Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications * Delivery and support of mathematical technologies for various scientific disciplines and applications * Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations * Active participation in professional organizations Basic Qualifications: * A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years Preferred Qualifications: * Experience in one more of the following areas: * Mathematical methods for computational fluid dynamics (CFD) * Finite elements methods * Modern machine learning software tools and frameworks * Implementation of scalable numerical algorithms on HPC architectures * Excellent written and verbal communication and interpersonal skills. The ability to obtain and maintain a DOE Security Clearance Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Instructions to Apply: Please submit a cover letter, curriculum vitae, research statement, and three letters of reference when applying to this position. You may upload these documents directly to your application or have them sent to *************************** with the position title and number referenced in the subject line. For full consideration, please submit materials by November 1, 2025. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. #LI-DC1 This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ***********************. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

The Department of Physics and Astronomy at the University of Tennessee, Knoxville (UTK), invites applications for a Postdoctoral Research Associate position in theoretical nuclear physics, under the supervision of Prof. Chien-Yeah Seng. The position is expected to begin in June 2026 or later. The research will focus on precision tests of the Standard Model in hadronic and nuclear processes. The successful candidate will also have the opportunity to participate in the Topical Collaboration "Nuclear Theory for New Physics" (NTNP), funded by the U.S. Department of Energy (DOE). Further information about the NTNP collaboration can be found here: ****************************** This is a grant-funded position and is contingent upon the continued funding of the grant. Required Qualifications PhD in theoretical nuclear or particle physics, or a closely related field, completed by employment date. Preferred Qualifications Strong research record in fundamental symmetries, effective field theory, or nuclear ab-initio calculations. Work Location The research will be performed onsite in Knoxville, TN (primary) and Oak Ridge National Laboratory. Compensation and Benefits Find more information on the UT Market Range structure here Find more information on UT Benefits here Application Instructions For best consideration applicants should submit the below materials before November 1, 2025 Cover letter Curriculum vitae List of publications Statement of research interests Three letters of recommendation About The Department The Department has an exemplary research record, with eight professors earning NSF CAREER awards since 2012, eight professors among the world's top two percent of physicists based on citation count, the award of the prestigious American Physical Society 2021 Bonner Prize, eleven APS Fellows, and four AAAS Fellows. The University of Tennessee, Knoxville is Tennessee's flagship state research institution, a campus of choice for outstanding undergraduates and a premier graduate institution with a number of nationally and internationally ranked programs and with national and international leadership in numerous fields. The postdoc will perform theoretical research on one or more topics in precision physics, including but not limited to: Hadronic and nuclear beta decays Lepton-nucleus scattering Electric dipole moments Neutrinoless double beta decays

Requisition Id 15682 Overview: We are seeking a highly motivated Postdoctoral Research Associate to contribute to the NEUROPIX project, an interdisciplinary effort at the intersection of high-energy physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team to develop AI-enabled, low-latency signal-processing algorithms for next-generation pixel detectors used in high-energy physics experiments. This position offers the opportunity to engage in cutting-edge research spanning detector simulation, Spiking Neural Network (SNN) design, neuromorphic hardware, and data-rich experimental systems such as CMS pixel detectors, Timepix4, and novel photodetector technologies. This position resides in the Relativistic Nuclear and High Energy Physics group in the Physics Division, Physical Science Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Depending on background and interest, responsibilities may include: Neuromorphic & ML Algorithm Development: * Development and training of Spiking Neural Networks (SNNs) for clustering, classification, and interpolation of pixel detector data. * Exploration of spike-based data encoding/decoding strategies. * Hyperparameter optimization using advanced computing resources (e.g., HPC clusters). Detector Simulation & Data Processing: * Use and extension of Allpix2 and TCAD-based simulation tools. * Generation of large simulation datasets for algorithm training and validation. * Integration of simulation with neuromorphic platforms. FPGA / Hardware-Embedded AI: * Deployment of SNNs to FPGA-based neuromorphic hardware (e.g., NeuroSpike/NeuroSpark). * RTL generation using HLS workflows and evaluation of resource usage, latency, and performance. * Participation in hardware test benches for real detector systems. Experimental Detector Work: * Testing and characterization of pixel detectors (CMS HL-LHC, Timepix4, AC-LGAD, PDCs). * On-sensor data processing demonstration with hardware prototypes. * Potential involvement in beam tests or radiation-source laboratory setups. Basic Qualifications: * Ph.D. in Physics, Electrical Engineering, Computer Science, or a closely related field. * Experience in at least one of the following areas: * FPGA programming (VHDL/Verilog, HLS) * Pixel detectors in high-energy physics or radiation detection * Neuromorphic computing or Spiking Neural Networks * Machine learning, AI/ML algorithms, or scientific computing * Strong programming skills in Python and/or C++. Preferred Qualifications: * Ability to work collaboratively in a multidisciplinary team. * Strong communication skills and the ability to document and present research clearly. * Experience with: * Allpix2, GEANT4, detector simulation, or TCAD * FPGA toolchains (Xilinx Vitis/Vivado, Intel Quartus, HLS tools) * HPC environments or GPU-accelerated computing * On-detector firmware or data acquisition systems * Familiarity with HEP data formats and reconstruction. * Background in semiconductor sensor physics or microelectronics. Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Letters of Recommendation: Please submit three letters of reference when applying for this position. You can upload these directly to your application or have them sent to *************************** with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: * Login to your account via jobs.ornl.gov * View Profile * Under the My Documents section, select Add a Document Security, Credentialing, and Eligibility Requirements: * This position requires the ability to obtain and maintain an HSPD-12 PIV badge. * For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. * Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. * To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: * If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. * Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

The Research Scientist (Metallurgy) conducts applied and fundamental research involving alloy development, heat treatments, and advanced manufacturing of metallic components for defense applications. This role operates within UT's Defense Research Center, collaborating with government, industry, and academic partners to advance DoD-funded materials initiatives. This position is responsible for leading and supporting fundamental and applied research in physical and mechanical metallurgy with a focus on advanced manufacturing methods for metallic systems in support of Department of Defense-funded initiatives. The scientist will conduct research on microstructure-process-property relationships, heat treatment strategies, and alloy development for a range of metallic materials-including aluminum alloys, high-strength steels, and refractory metals such as tungsten and molybdenum-and will qualify and optimize these materials for use in defense-critical components fabricated via Additive Friction Stir Deposition (AFSD), Cold Spray, and Wire Arc Additive Manufacturing (WAAM). This is a grant-funded position and is contingent upon the continued funding of the grant. Required Qualifications Education: Master's Degree in Mechanical Engineering or related Engineering disciplines Experience: 3 years of experience in metallurgy including heat treatments, microstructural characterization, and mechanical testing Knowledge, Skills, Abilities: Knowledge of operation and ability to conduct heat treatment processes. Knowledge and operation of materials characterization techniques such as optical microscopy, SEM/EDS, EBSD, XRD, microhardness testing, and mechanical evaluation (tensile, compression, fatigue). Technical writing skills for proposal, report, and manuscript preparation. Strong interpersonal and collaborative relationship skills Preferred Qualifications Education: Doctoral Degree in Mechanical Engineering or related Engineering disciplines Experience: 1 year or more experience in CNC machining. 1 year or more experience with structured light scanners, coordinate measuring machines, optical profilometers. 1 year or more experience with additive manufacturing processes for metals Knowledge, Skills, Abilities: Knowledge of operation and ability to use CNC machining for part production and experiments. Knowledge of operation and ability to use wire electrical discharge machining for part production. Knowledge of operation and ability to use and interpret results of measurements performed using structured light scanners, coordinate measuring machines, optical profilometers. Knowledge of operation and ability to use additive manufacturing techniques and in-situ monitoring for metal and hybrid materials components. Ability to perform experiments for model development Work Location: Location: Knoxville, TN Onsite Compensation and Benefits: UT market range: MR 13 Find more information on the UT Market Range structure here Find more information on UT Benefits here Application Instructions: To express interest, please submit an application with the noted below attachments. To be assured of full consideration, all requested materials should be included in the application: Resume Cover Letter List of 3 Professional References About The College: The Tickle College of Engineering is in the midst of an unprecedented period of growth and success including adding over 30 new faculty as part of ambitious cluster hiring campaigns led by Chancellor Donde Plowman and Dean Matthew Mench. Since 2021, the college has set records in research expenditures, enrollment, incoming student GPA, intellectual property development, and USNWR rank. New facilities include the state-of-the art Zeanah Engineering Complex, the University of Tennessee Manufacturing and Design Enterprise (TN-MADE) facility, and the Innovation South building which houses UTK's Fibers and Composites Manufacturing Facility (FCMF). TCE currently has 208 Tenure/Tenure Track and 65 Non-Tenure Track faculty in its nine academic departments and offers 13 undergraduate, 16 MS, and 15 PhD degree programs. Affiliated with TCE and located in Tullahoma, Tennessee, the UT Space Institute is a hub of aerospace and defense research. The college is also home to eight research centers and three interdisciplinary institutes. With approximately 4,300 undergraduate and 1,500 graduate students, the college sits 29th among public universities in the most recent U.S. News and World Report graduate rankings. Faculty in the college have won 29 early career awards (NSF, DoE, DARPA, AFOSR, and ARO) since 2016. In FY24, the college had NSF HERD research expenditures of $121 million. The scientist designs and executes metallurgical experiments on aluminum, steel, and refractory metal systems; develops and applies heat-treatment schedules to tailor microstructures; and characterizes materials using techniques such as optical microscopy, SEM/EDS, EBSD, XRD, microhardness testing, and mechanical evaluations. They also develop and validate analytical and computational models, support qualification of AFSD, WAAM, and Cold Spray processes, mentor students and partners, and manage laboratory equipment, safety protocols, and research operations.

Requisition Id 15663 We are seeking a Post Doctoral Research Associate who will focus on high fidelity building energy modeling and advanced control. This position resides in the Integrated Building Deployment and Analysis Group in the BTSD, ESTD at Oak Ridge National Laboratory (ORNL). The IBDA group leads the development of innovative methods for residential and commercial whole-building energy performance and systems integration, deployment, and analysis in support of the DOE mission. Staff members lead and participate on teams focused on R&D and deployment of energy-efficient, demand-flexible, and affordable buildings for the DOE Building Technologies Office (BTO), the Federal Energy Management Program (FEMP), and Office of State and Community Energy Program (SCEP). Major Duties/Responsibilities: * Developing and validating high fidelity whole building energy modeling * Performing experiments in a test facility and experimental data analysis * Developing and deploying AI based advanced control and automated fault detection and diagnosis (AFDD) algorithms to buildings * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success. Basic Qualifications: * A Ph.D degree in mechanical engineering, architecture, architectural engineering, or related field completed within the last five years. * Experience in building energy modeling and analysis. * Deep understanding of building thermal physics, HVAC systems, and building sensors and controls * Expertise in whole building energy forward modeling (e.g., EPlus, OpenStudio, DOE-2), calibration and validation with empirical datasets * Experience in coding (Python) for building energy modeling and controls Preferred Qualifications: * Expertise in modern optimal control techniques (e.g., AI based controls) * High level of competence in coding and scripting * Expertise in machine learning and big data analysis * Excellent written and oral communication skills * Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory * Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to *************************** with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: * Login to your account via jobs.ornl.gov * View Profile * Under the My Documents section, select Add a Document Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: *********************** or call **************. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ***********************. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

The Research Scientist will advance cold spray deposition science and technology, supporting the Department of Defense-funded initiatives in areas such as structural repair and expeditionary manufacturing. The position involves process development, material compatibility studies, performance validation, and integration of CSAM components into defense platforms. This role will also represent the University of Tennessee in collaborations with government and industry partners, mentor students, manage cold spray infrastructure, and contribute to the technical leadership of the UT Defense Research Center. This is a grant-funded position and is contingent upon the continued funding of the grant. Required Qualifications: Education: Master's Degree in Mechanical Engineering or job-related Engineering disciplines Experience: 3 years of experience in cold spray additive manufacturing and repair Knowledge, Skills, Abilities: Knowledge of operation and ability to use cold spray for part production, repair, and experiments for model development. Ability to use and interpret results of measurements performed during operations and post characterization. Technical writing skills for proposals, reports, and manuscript preparation. Strong interpersonal and collaborative relationship skills are needed for success in this role. Preferred Qualifications: Education: Doctoral Degree in Mechanical Engineering or job-related Engineering disciplines Experience: 1 year or more experience in CNC machining. 1 year or more experience with structured light scanners, coordinate measuring machines, optical profilometers.1 year or more experience with other additive manufacturing processes for metals, polymers, or ceramics. Knowledge, Skills, Abilities: Knowledge and operation of materials characterization techniques such as optical microscopy, SEM/EDS, EBSD, XRD, microhardness testing, and mechanical evaluation (tensile, compression, fatigue). Knowledge of operation and ability to use CNC machining for part production and experiments. Knowledge of operation and ability to use wire electrical discharge machining for part production. Knowledge of operation and ability to use and interpret results of measurements performed using structured light scanners, coordinate measuring machines, optical profilometers. Knowledge of operation and ability to use of other additive manufacturing techniques and in-situ monitoring for metal and hybrid materials components. Ability to perform experiments for model development Work Location: Location: Knoxville, TN Onsite Compensation and Benefits: UT market range: MR13 Find more information on the UT Market Range structure here Find more information on UT Benefits here Application Instructions: To express interest, please submit an application with the noted below attachments. To be assured of full consideration, completed applications with all requested materials. Resume Cover Letter List of 3 Professional References About The College/Department/Division: The Tickle College of Engineering is in the midst of an unprecedented period of growth and success including adding over 30 new faculty as part of ambitious cluster hiring campaigns led by Chancellor Donde Plowman and Dean Matthew Mench. Since 2021, the college has set records in research expenditures, enrollment, incoming student GPA, intellectual property development, and USNWR rank. New facilities include the state-of-the art Zeanah Engineering Complex, the University of Tennessee Manufacturing and Design Enterprise (TN-MADE) facility, and the Innovation South building which houses UTK's Fibers and Composites Manufacturing Facility (FCMF). TCE currently has 208 Tenure/Tenure Track and 65 Non-Tenure Track faculty in its nine academic departments and offers 13 undergraduate, 16 MS, and 15 PhD degree programs. Affiliated with TCE and located in Tullahoma, Tennessee, the UT Space Institute is a hub of aerospace and defense research. The college is also home to eight research centers and three interdisciplinary institutes. With approximately 4,300 undergraduate and 1,500 graduate students, the college sits 29th among public universities in the most recent U.S. News and World Report graduate rankings. Faculty in the college have won 29 early career awards (NSF, DoE, DARPA, AFOSR, and ARO) since 2016. In FY24, the college had NSF HERD research expenditures of $121 million. The Research Scientist will be responsible for the following: Designing and executing experiments to evaluate cold spray deposition performance across metals, polymers, spatially graded, and hybrid material systems. Optimizing spray parameters for both high- and low-pressure systems to achieve robust bonding, dimensional accuracy, and repeatability. Characterizing as-sprayed materials and build quality using microscopy, profilometry, ultrasonic inspection, and mechanical evaluation. Studying particle-substrate interactions, critical velocity behavior, and deposition efficiency across various feedstock types and substrates. Conducting post-process evaluations to assess performance metrics including adhesion, wear resistance, fatigue, and environmental durability. Implementing and refining in-situ monitoring tools to measure particle velocity, substrate temperature, and deposition rate. Developing models and data-driven methods to correlate process parameters with deposition quality and performance. Support efforts in developing process qualification pathways and performance benchmarks for CSAM parts. Mentoring students, technicians, and DoD collaborators in cold spray system operation, safety, experimental design, and data analysis. Providing technical instruction on cold spray system capabilities, maintenance, and safe laboratory practices. Overseeing the operation and maintenance of cold spray systems and supporting characterization tools. Leading and supporting manufacturing demonstrations and development efforts with DoD and industry partners. Hosting facility tours, technical briefings, and collaborative engagements with external stakeholders and sponsors.

Requisition Id 15637 Oak Ridge National Laboratory is the largest US Department of Energy (DOE) science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will focus on theoretical studies of nonequilibrium dynamics in many-body systems. This position resides in the Quantum Heterostructures Group in the Foundational & Quantum Materials Science Section, Materials Science and Technology Division, Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of our research team, you will closely collaborate with a team that includes condensed matter theorists, experts in neutron/X-ray scattering, and experts in thin film and single crystal material's growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: * Development of theoretical framework for driven and open quantum systems. * Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems. * Experience in analyzing data from scattering experiments. * Work with others to maintain a high level of scientific productivity. * Publish scientific papers in key journals and present at key meetings. * Ensure compliance with environment, safety, health, and quality program requirements. * Maintain a strong commitment to the implementation and perpetuation of values and ethics. * Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: * A PhD in in condensed matter physics, theoretical physics, quantum information, or a closely related field completed within the last five years. * Good track record in scattering theory, quantum many-body theory, thermodynamics, statistical mechanics, or non-equilibrium physics. * Experience in phenomenological and/or computational methods for quantum/classical dynamics in complex system. Preferred Qualifications: * Rich experience with modeling in spin or atomic dynamics will be highly advantageous. * Basic knowledge of models of strongly correlated electron systems. * Proficiency with scripting or programmatic languages, such as Python, c, and MATLAB. * Excellent written and oral communication skills. * Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory. * Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs. Special Requirements: Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Please submit two letters of reference when applying to this position. You may upload these directly to your application or have them sent to ******************* with the position title and number referenced in the subject line. Instructions to upload documents to your candidate profile: * Login to your account via jobs.ornl.gov * View Profile * Under the My Documents section, select Add a Document Security, Credentialing, and Eligibility Requirements: * This position requires the ability to obtain and maintain an HSPD-12 PIV badge. * For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. * Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. * To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: * If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. * Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Benefits at ORNL: We offer competitive pay and benefits programs to attract and retain hardworking people! The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, and Employee Discounts. Relocation Assistance is available for certain positions. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

The Global Computing Laboratory (GCLab) and the Energy, People, and Interactive Computing (EPIC lab) at the University of Tennessee, Knoxville (UTK) -led by Prof. Michela Taufer and Prof. Sai Swaminathan, respectively- invite applications for a Postdoctoral Research Associate position to advance the next generation of intelligent, adaptive, and user-aware scientific workflow systems. Together, our labs conduct interdisciplinary research that brings together high-performance computing (HPC), distributed systems, AI/ML, and human-computer interaction (HCI). Our ongoing collaborations span intelligent and explainable workflow composition, data and workflow provenance, reproducibility, and trust, sustainable AI, Human-in-the-loop reinforcement learning and personalization, edge AI-cloud-HPC convergence, and scientific computing. We collaborate with national laboratories, universities, and industry partners to develop scalable, trustworthy, and efficient systems for exascale and beyond. This position offers a unique opportunity to work across system-level and human-centered innovations, contributing to open-source software, co-design with domain scientists, and publishing in top-tier venues such as SC, ISC, HPDC, NeurIPS, AAAI, CHI, UIST, and IMWUT/UbiComp. Required Qualifications Ph.D. in Computer Science, Computer Engineering, or a related field. Applicants graduating within 6 months are encouraged to apply. Degree must be completed prior to start date. Strong programming skills in C/C++ and/or Python. Experience with AI, high-performance computing environments, parallel systems, or scientific workflows. Demonstrated research excellence through impactful publications, technical contributions, or leadership in projects. Desired Qualifications Expertise in workflow orchestration, AI/ML integration with HPC, data management systems. Experience with distributed storage and I/O libraries (e.g., HDF5, NetCDF). Familiarity with containerization, cloud-HPC convergence, or exascale software stacks. Strong communication and technical writing skills; ability to work effectively in interdisciplinary teams. Additional Information Occasional travel to national laboratories, conferences, or project meetings may be required. Starting salary range begins at $75,000 per year depending on experience and qualifications. Application Instructions: If you are interested in this position, please submit an online application. In addition to the application, you may also contact: Prof. Michela Taufer Dongarra Professor in High Performance Computing Director, Global Computing Laboratory Department of Electrical Engineering and Computer Science University of Tennessee, Knoxville E-mail: *************** Other Job Functions Collaborates with faculty, research staff, graduate/undergraduate students, and external partners. Designs, develops, and evaluates scalable software frameworks for HPC, AI workflows, HCI and data-intensive science. Engages with national laboratories, funding agencies, and industry collaborators to advance research goals. Authors research proposals to expand and sustain ongoing projects and explore new directions. Publishes in top-tier conferences and journals; presents research results at major venues. Mentors students and contributes to workforce development initiatives.

Requisition Id 15420 The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and iterative solvers. Successful applications will work in applications related to gas dynamics, plasma physics, and radiation transport. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational and computer scientists, and domain scientists conducting basic and applied research in support of ORNL's mission. Specific responsibilities include: * Participation in the development and analysis of new computational methodologies for scientific problems, often customized to complex and large-scale scientific applications * Delivery and support of mathematical technologies for various scientific disciplines and applications * Dissemination of research through peer-reviewed papers and technical reports, as well as seminar and conference presentations * Active participation in professional organizations Basic Qualifications: * A PhD in Mathematics, Applied Mathematics, Computational Science, or a related field completed within the last 5 years Preferred Qualifications: * Experience in one more of the following areas: * Mathematical methods for kinetic and/or fluid equations * Multiscale problems and model reduction * Modern machine learning software tools and frameworks * Implementation of scalable numerical algorithms on HPC architectures * Excellent written and verbal communication and interpersonal skills. * The ability to obtain and maintain a DOE Security Clearance Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws. For foreign national candidates: If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment. Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment. Instructions to Apply: Please submit a cover letter, curriculum vitae, research statement, and three letters of reference when applying to this position. You may upload these documents directly to your application or have them sent to *************************** with the position title and number referenced in the subject line. For full consideration, please submit materials by November 1, 2025. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience. Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ***********************. #LI-DC1 This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ***********************. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer. Nearest Major Market: Knoxville

The successful candidate will: Work closely with the principal investigator and collaborators to execute research objectives Utilize an existing 2 nd iteration proof-of-concept system to develop an inventory system that can identify and record individual trees, and their sizes and locations in the field Develop a mapping algorithm in conjunction with GPS navigation to precisely detect overlapping trees Develop multi-lingual reporting capabilities to document nursery inventory Design and conduct research experiments, analyze data, and summarize the results Contribute to scientific publications and conferences and outreach to the green industry. Required Qualifications: Education: Master's Degree in Mechanical Eng., Biosystems Eng., Comp. Info Sci., Power Electronics or similar field is required. Experience: Two years of experience in farm machinery, robotics, AI, autonomous navigation, computer programming, or machine vision. Knowledge, Skills, Abilities: Must possess proficient written and oral English communication skills. Must be self-motivated and highly organized, operate autonomously, and ability to work with a diverse group of faculty, staff, students, and producers to conduct field, and laboratory research. Must have a good understanding, both theoretical and practical, of the engineering sciences and techniques for their applications to crop production. Candidates are expected to have or be able to obtain a US Driver's License. Preferred Qualifications: Knowledge, Skills, Abilities: Experience in computer programming including C++, Python, automatic controller designs, sensor applications, GPS navigation, crop structure and pattern recognition systems, SLAM navigation, Gazebo 2D/3D simulation environment development, is highly desirable. Demonstrated expertise in farm machinery system development, control systems, and/or industrial automation is highly desirable. Work Location: Location: Knoxville, Tennessee and Wooster, Ohio Onsite Compensation and Benefits: UT market range: MR09 Anticipated hiring range: $63,860 Find more information on the UT Market Range structure here Find more information on UT Benefits here Application Instructions: To express interest, please submit an application with the noted below attachments. To be assured of full consideration, completed applications with all requested materials should be submitted on or before December 19, 2025. Resume Cover Letter List of 5 Professional References About The College/Department/Division: The Department of Plant Sciences, part of the Herbert College of Agriculture at the University of Tennessee, Knoxville, addresses agricultural and environmental challenges through teaching, research, and Extension. We offer programs in plant sciences and landscape design, conduct research in crop production, genetics, plant physiology, and sustainable agriculture, and support growers and industry partners across Tennessee. Assist in the planning and execution of experimental protocols to achieve research goals Build a ROS software framework with Gazebo (3D simulation environment) for a simulated digital nursery that validates and tests algorithms and robotic behavior Design autonomy architecture; assemble sensing/mapping payload Validate 3D→2D mapping Develop real‑time detection/counting algorithms Develop multi‑threaded framework for real‑time display Optimize point cloud processing Coordinate with collaborating farms to conduct field tests of the experimental TALI system Deploy and test payload at station/campus nursery and at collaborating nurseries Document research activities and results in a written log and with photographs Contribute to manuscript preparation Proactively identify when supplies need to be ordered Participate in LEAP monthly planning calls, LEAP Objective 1 calls, and others as needed. Disseminate information and provide service to the Green Industry, LEAP Team, community through activities such as reviewing manuscripts and extension publications; host tour groups, provide website content and content for advisory board reports, present at local, state and national events such as Cultivate, IPPS, and other Green Industry events. Present scientific findings to scientific audiences through departmental seminars, and oral presentations and posters at the ASABE, ASHS and other professional conferences.