PHD Researcher jobs at University of Delaware

Context of job: The laboratory of electrochemical Analysis and Diagnostics headed by Dr. Yao at the University of Delaware is seeking a Postdoctoral researcher to conduct research on the diagnostics of failure and its mitigation in fuel cells and water electrolyzer systems in collaboration with the UD Center for Clean Hydrogen. Major responsibilities: The successful candidate will be responsible for experimental research in catalyst and membrane degradation using electrochemical tools such as Electrochemical Impedance Spectroscopy coupled with electromagnetic spectroscopy including but not limited to Raman spectroscopy, X-ray spectroscopy, IR spectroscopy and electron microscopy. Data analysis, scientific deduction, and proposals for remediation solutions are expected products of the work. Qualifications: * Ph.D in Chemical Engineering, Mechanical Engineering, Materials Science and Engineering or equivalent. * Fluent understanding of the principles Electrochemical Engineering and Materials characterization using X-ray spectroscopy and Visible light spectroscopy. * Excellent command of data analysis using proven and relevant mathematical principles * Excellent and experienced familiarity with experiment design principles and execution * Excellent command of scientific writing and reporting in English with a history of self-written publication (with or without supervisory input). * Original scientific thinker and good team player * Organized and attentive to details and deadlines * Applicants must at minimum be available and dedicated to work until 9/30/26 Notice of Non-Discrimination and Equal Opportunity The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence. Applications close:

The Entropy for Energy (S4E) Laboratory at Johns Hopkins University (PI Corey Oses) has openings for postdoctoral researchers in the data-driven discovery of energy materials. Projects focus on fundamental research innovating clean hydrogen production, waste-heat conversion, power generation, and energy storage. A. Doctorate in materials science, physics, chemistry, computer science or related fields. B. Ability to move to and work at Johns Hopkins University, USA. C. Proven track-record of first-author publications and presentations. A minimum of three peer-reviewed, first-author publications must be accessible by the S4E team. D. Proven experience with VASP, Quantum ESPRESSO, LAMMPS, or other ab-initio codes. E. Strong programming skills in C++ and Python and proficiency with Unix systems. F. Ability to lead research projects and collaborate with experimentalists. G. Fundamental understanding of thermodynamics of materials, solid-state physics, inorganic chemistry, and metallurgy at the level of theory/implementation. H. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning/artificial intelligence, database/API development, aflow.org repositories. Graduate students near the completion of their Ph.D. are welcome to apply. Please provide your anticipated defense date and expected graduation date under Qualification B. Salary: $62,232 - $75,564 Submit a single PDF file via Interfolio named "Lastname_Firstname_S4E_202512.pdf" containing a cover letter, CV, and contact information for 3 references. The cover letter should address each point of the qualifications list explicitly (i.e., A, B, C, ...). Provide ample examples and details where possible. Applications without explicit responses will not be reviewed. OPTIONAL: DOIs for 3 recent and relevant publications can be included at the end of the packet. Questions can be sent to the S4E team (entropy4energy at jhu.edu); subject line must contain "S4E Post-Doc". Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

The Entropy for Energy (S4E) Laboratory at Johns Hopkins University (PI Corey Oses) has openings for postdoctoral researchers in the data-driven discovery of energy materials. Projects focus on innovating clean hydrogen production, waste-heat conversion, nuclear power, and energy storage. A. Doctorate in materials science, physics, chemistry, computer science or related fields. B. Ability to move to and work at Johns Hopkins University, USA. C. Proven track-record of first-author publications and presentations. A minimum of three peerreviewed, first-author publications must be accessible by the S4E team. D. Proven experience with VASP, Quantum ESPRESSO, LAMMPS, or other ab-initio codes. E. Strong programming skills in C++ and Python and proficiency with Unix systems. F. Ability to lead research projects and collaborate with experimentalists. G. Fundamental understanding of thermodynamics of materials, solid-state physics, inorganic chemistry, and metallurgy at the level of theory/implementation. H. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning/artificial intelligence, database/API development, aflow.org repositories. I. Citizens of China, Russia, North Korea, and Iran are not permitted to participate. Graduate students near the completion of their Ph.D. are welcome to apply. Salary: $62,132 - $69,890 Submit a single PDF file via Interfolio named "Lastname_Firstname_S4E_202508.pdf" containing a cover letter, CV, and contact information for 3 references. The cover letter should address each point of the qualifications list explicitly (i.e., A, B, C, ...). Provide ample examples and details where possible. Applications without explicit responses will not be reviewed. OPTIONAL: DOIs for 3 recent and relevant publications can be included at the end of the packet. Questions can be sent to the S4E team (entropy4energy at jhu.edu); subject line must contain "S4E Post-Doc". Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

Job Title Optical Diagnostics for Plasma Etching Postdoc Researcher Division Research & Economic Development Department NIST PREP Job Effective Date 12/01/2025 Job End Date 12/01/2026 Work Status Full Time Position Category Contractual FLSA Annual Salary Pays $82,000 / year Percentage Amount Fund Source Federal/Grant Requisition Reason New Job Duties * Assembly, maintenance, and safe operation of plasma processing systems, including vacuum pumps * Design and operation of in situ optical diagnostics, including temporally- and spatially-resolved optical emission spectroscopy and mid-infrared laser absorption spectroscopy measurements * Processing and interpreting large datasets, including imaging data * Correlating optical spectroscopy data with time-resolved frequency comb and RF waveform measurements * Working in a multi-disciplinary team comprised of experts in plasma etch processes, optical metrology development, and RF waveform metrology development * Regularly reporting research findings to project team and advisor(s) * Publishing in peer-reviewed scientific journals and presenting at conferences Requested Minimum Qualifications PhD or equivalent experience in natural sciences, engineering or a related field Other Preferences for Consideration

Do you enjoy designing and prototyping novel metasurfaces, and devices for manipulating electromagnetic fields at RF and microwave frequencies? Are your proficient at using computational electromagnetic (CEM) tools, such as CST and COMSOL, for the simulation and optimization of RF metasurfaces, and in developing custom software to interface to CEM tools? Are you skilled in experiment design and using radio frequency (RF) hardware and associated software to characterize RF prototypes? Do you have experience configuring and operating RF systems composed of antennas, vector network analyzers, spectrum analyzers, oscilloscopes, and signal generators to characterize RF surfaces? Are you interested in engaging in and learning about processes for fabricating and integrating printed circuit boards? If so, we're looking for someone like you to join our team at APL! Join a team of computational and experimental researchers who are passionate about developing innovative solutions that can impact the future development and application of advanced microwave devices, materials, and systems. Our team is committed to scientific excellence and continuous learning/improvement, valuing high-risk, high-reward ideas, honest discussion, and open collaboration. We are seeking a creative RF researcher to help us fulfill the technical needs of existing projects growing new ones. As a member of our team, you'll contribute to research that proceeds from computational modeling and optimization through prototyping and characterization to real-world transitioned technologies. As an RF Researcher, your primary responsibility will be to work closely with our team to oversee the design, prototyping, and fabrication of novel metasurfaces and intelligent structures designed for manipulating RF fields. In addition, you will participate in performing anechoic chamber measurements and devise RF testbeds to characterize the performance of electromagnetic prototypes, analyze data, and propose design refinements. Finally, you will advance independent research and development ideas while collaborating with a team of physicists, engineers, and fabrication technicians to gain deeper insights into sensors, devices, and related phenomena. Qualifications You meet our minimum qualifications for the job if you... * Hold a PhD degree in Electrical Engineering, Physics, or related fields. * Possess a strong background in electromagnetic metasurfaces and microwave/RF components and circuits. * Have proficiency in using a full-wave electromagnetic simulation package such as CST, HFSS, or COMSOL. * Have a working experience or interest in configuring and operating typical RF hardware equipment such as vector network analyzers (VNAs), antennas, and spectrum analyzers. * Have interest in learning the procedures and protocols pertaining to the fabrication of RF metasurfaces. * Write scientific programs in MATLAB or PYTHON. * Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... * Have experience in printed circuit board layout and fabrication. * Have interest in building systems with RF components (e.g., mixers, amplifiers, filters, and detectors) * Have previously contributed to the design of reconfigurable intelligent surfaces * Have broad exposure to common RF applications such as communications, radar, antenna design, and microwave imaging #LI-AG1 About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $290,000 Annually

Are you an optical physicist or engineer who enjoys both modeling/simulation and performing experiments to characterize optical and infrared interactions with novel 2D optical surfaces? Do you have experience with commercial computational software and optimization tools to gain insight into the interplay between novel materials and electromagnetic fields-specifically optical and infrared-and improve the design accordingly? Do you seek to collaborate with an interdisciplinary team to carry your solutions through the full cycle of design, fabrication, characterization, and prototyping? If so, we're looking for someone like you to join our team at APL! As part of a multi-disciplinary research team, you will join computational and experimental scientists and engineers who are passionate about developing innovative solutions that can impact the future development and application of electromagnetic devices using novel metasurface and phase-change material designs. Our team is committed to scientific excellence and continuous learning, valuing high-risk, high-reward ideas, honest discussion, and open collaboration. We are seeking a creative and multidisciplinary scientist to help us mature existing projects and grow new ones by identifying emerging sponsor challenges that require novel electromagnetic solutions in the optical frequency range. The scope of the projects can range from fundamental discovery through advanced prototype demonstration. As a member of our team, you'll contribute to research that proceeds from computational modeling and optimization through prototyping and characterization to real-world transitioned technologies. As a Design and Characterization Researcher: Your primary responsibilities will be to (1) utilize computational tools to design and simulate the performance of optical metasurfaces, and (2) perform experiments to characterize the performance of metasurfaces in the optical frequency range. The former responsibility will leverage commercial computational tools to build simulations and develop numerical solutions. In addition, you will be encouraged to help develop independent research and development ideas that demonstrate the potential of new and emerging technologies for groundbreaking applications within the APL sponsor base. You will collaborate with a multi-disciplinary team of physicists, engineers, and fabrication technicians to gain deeper insights into sensors, devices, and related phenomena. Qualifications You meet our minimum qualifications for the job if you: * Hold a Ph.D. degree in Physics, Electrical Engineering, or a related field with at least one year of experience. * Have a record of creatively applying physics knowledge and performing experimental characterization of novel electromagnetic structures. * Possess familiarity with the physics of tailoring electromagnetic fields to control reflection, transmission, and absorption through patterned surfaces and engineered material properties. * Have previous experience with laboratory characterization of optical materials or components using hardware such as Fourier Transform Infrared (FTIR) spectrometers and ultraviolet-visible (UV-Vis) spectrometers. * Write scientific programs in at least one high-level language (e.g., C, C++, Java) or an interpreted language (e.g., MATLAB, Python). * Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Secret-level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you: * Possess insight into various fabrication methods and related tolerances pertinent to engineered electromagnetic surfaces. * Have working experience building numerical models for solving electromagnetic problems using commercial tools such as CST and COMSOL. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $290,000 Annually

Are you an early-career researcher hoping to invent the future of artificial intelligence (AI)? Do you have a burning desire for your research to serve a bigger purpose? Are you concerned about pressing challenges facing our nation's security and prosperity? If these questions describe you, you may be the kind of person the Artificial Intelligence Group at JHU/APL is looking for. We are a team within the Research and Exploratory Development Department (REDD) that strives to close the gap between frontier models and our sponsors' expectations for an AI-dominated future. Our research programs are targeting foundational advances with cross-mission impact, such as: * Improving alignment of AI agents used in human-machine teaming and wargaming * Training multimodal foundation models on language and sensor data * Intelligent robots that use agentic AI to perform complex tasks in a self-directed way * Assessing, mitigating, and exploiting vulnerabilities of frontier models * Mission-driven test and evaluation (T&E) of novel research We are seeking new PhD graduates that, in the short-term, can make important contributions to our current research, and in the long-term can grow into a thought leadership role for the Laboratory. We have many opportunities for you to propose your own ideas for internal seedling funding, and our Program Managers can help you grow these into externally-funded projects. Along the way, we will encourage and support publication of your work and engagement with the broader research ecosystem. Qualifications You meet our minimum qualifications for the job if you: * Have a PhD or equivalent degree with dissertation work in fundamental AI research. * Have a strong record of peer-reviewed publications in reputable journals and/or conferences. * Are proficient in Python programming with experience using PyTorch and/or Jax, including Hugging Face libraries (transformers, diffusers, datasets, tokenizers, etc.). * Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you have research experience in any of these areas: * Measuring and increasing alignment between humans and AI agents * Novel techniques for training and/or fine-tuning foundation models * Models or agents for robotic control and problem-solving * Adversarial and/or natural robustness of computer vision and autonomy * Neural rendering techniques for 3D scene reconstruction About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $227,500 Annually

Are you passionate about integrating, testing, analyzing, and validating RF hardware through laboratory and field-testing activities? Our interdisciplinary team helps ensure the success of missile defense systems through our expertise in RF hardware including wireless datalinks, GPS receivers, and radars. If you are graduating with a PhD in Electrical Engineering, Physics, Computer Engineering, or Systems Engineering we'd love to have you join the Radio Frequency Engineering Group! We're looking for a Radio Systems Scientist to test, evaluate, and integrate RF systems, helping ensure their effectiveness in real-world environments and driving innovation in the next generation of weapons. As a Radio Systems Scientist you will... * Integrate, test, and evaluate RF technologies and systems in hardware-in-the-loop (HiL) facilities and field test settings. * Develop algorithms and techniques for processing and visualizing RF data * Develop modeling and simulation tools to predict real-world performance of RF systems * Recommend improvements for RF systems through prototyping and experimentation. * Use anechoic chambers and RF testbeds to characterize system performance * Collaborate with engineers across APL and external partners. Qualifications You meet our qualifications for the job if you... * Have a PhD in Electrical Engineering, Physics, Computer Engineering, or Systems Engineering, or another related technical field. * Have experience in designing and performing experiments, as well as generating analyses and visualizations of experimental data. * Have deep knowledge of at least one of the following: Wireless communications, GPS systems, radar and remote sensing, high-performance or GPU-based computing, or digital signal processing on embedded hardware. * Have excellent interpersonal, written, and verbal communication skills, and have demonstrated success while working within a team environment. * Are familiar with using one or more types of RF test equipment such as spectrum analyzers, signal generators, waveform generators, oscilloscopes, signal analyzers, or RF recorders * Are able to travel up to 10-20% of the time as needed. * Can be present on-site at our Laurel, Maryland campus on a regular basis due to the classified nature of this position. Occasional telework may be considered. * Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $227,500 Annually

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Modeling a ggregate radio frequency emissions from outdoor 4G and 5G cellular deployments The work will entail: Conduct research comparing models of received aggregate radio frequency (RF) emissions from 4G and 5G cellular deployments. Examine the effects of different path loss and clutter models on individual emitter contributions and aggregate emission calculations. Compare model predictions to field measurements from ongoing NIST projects. Key responsibilities will include but are not limited to: + Develop and implement algorithms and models for aggregate RF emissions using Python and/or MATLAB. + Process field measurements and compare with modeled results using various simulation tools. + Collaborate with other researchers and engineers to advance the state-of-the-art in aggregate emissions modelling and analysis. + Present research findings in peer-reviewed publications and presentations. § U.S. Citizenship + Ph.D. in Electrical Engineering, Computer Science, or a related field. + At least 5 years of relevant post-PhD work experience. § Strong background in electromagnetic propagation and channel modeling. + Strong background in wireless communication systems and technologies. + Proficiency in programming languages such as Python and MATLAB. § Ability to collaborate effectively with research professionals and work independently. + Excellent analytical and problem-solving skills. § Strong oral and written communication skills. § Preferred: Strong background in signal processing and statistics. § Preferred: Track record of peer-reviewed publications. Salary: $110,000-$185,234 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

The University of Maryland Medical System (UMMS) serves more than one million patients and families every year. More than 29,000 employees and 4,600 providers work at UMMS. Each and every one of these individuals - from the patients we care for, the family members we reassure to our colleagues that we champion - represent the amazingly vibrant communities we serve. And we continue to seek out qualified candidates who reflect the values, backgrounds and stories of our neighbors and patients. We want to hear your voice, learn from your experiences, and be shaped by your insight as part of our workforce. After all, when we come together from different walks of life, we become stronger, better, and more empathetic. Job Description General Summary Under limited supervision, assists in the development, implementation, and evaluation of a program of research in collaboration with nurses and other healthcare providers. Principal Responsibilities and Tasks The following statements are intended to describe the general nature and level of work being performed by people assigned to this classification. These are not to be construed as an exhaustive list of all job duties performed by personnel so classified. Mentors nurses and patient care services (PCS) staff to identify patient care problems and processes that can be addressed through nursing inquiry. Identifies and obtains best available assessment methods to evaluate target outcomes. Generates and facilitates the use of research evidence in guiding nursing practice. Provides consultation in research methods and data analysis to guide decision-making in the research program. Mentors nurses and PCS staff in developing data collection and management skills. Manages databases, including data entry and cleaning. Performs descriptive and inferential statistics using statistical software packages to analyze data generated from nursing and PCS research and evidence-based practice projects. Assists in the development of research grant proposals. Reviews research proposals to ensure scientific merit. Collaborates with other nurse scientists, internal and external to UMMC, to coordinate research activities. Develops and maintains policies and standards within the research program that meet institutional review board regulatory requirements. Assists nurses and PCS staff in the dissemination of scholarly projects, including the preparation of abstracts and manuscripts. Assists in the identification of learning needs of nurses and PCS staff in relation to nursing inquiry and develops educational activities for nursing and PCS staff. Active participant of the University of Maryland, Baltimore Institutional Review Board. Develops and maintains a personal program of research. Makes scholarly presentations at regional and national levels. Participates in regional and national nursing research organizations Patient Safety Ensures patient safety in the performance of job functions and through participation in hospital, department or unit patient safety initiatives. Takes action to correct observed risks to patient safety Reports adverse events and near misses to the appropriate management authority. Identifies possible risks in processes, procedures, devices, and communicates the same to those in charge. Qualifications Education and Experience A doctoral (PhD) degree from an accredited college or university in Nursing or Healthcare field is required. Licensure as a Registered Nurse in the State of Maryland, or eligibility to practice due to Compact State agreements outlined through the Maryland Board of Nursing, is required. Five years of hospital experience is required; nursing experience preferred. Eligible for an academic appointment at the University of Maryland School of Nursing. Knowledge, Skills and Abilities Clinical and professional knowledge of current issues relevant to health care delivery and professional practice is required. Knowledge of regulatory requirements for the protection of human subjects research. Knowledge of clinical nursing research design, methods, database management and data analysis using statistical software packages is required. Ability to plan, organize, and follow through on projects with limited supervision. Demonstrated success in exhibiting teaching, coaching, and development skills. Demonstrated success in dissemination of research, including scholarly presentations and publications in peer-reviewed journals. Additional Information All your information will be kept confidential according to EEO guidelines. Compensation Pay Range: $38.67- $58.05 Other Compensation (if applicable): Review the 2025-2026 UMMS Benefits Guide Like many employers, UMMS is being targeted by cybercriminals impersonating our recruiters and offering fake job opportunities. We will never ask for banking details, personal identification, or payment via email or text. If you suspect fraud, please contact us at [email protected].

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Evaluating and Advancing Measurement of Real-Time Deepfake Detection and Digital Injection Prevention for Digital Identity Services The work will entail: The increased availability of generative AI technology has given rise to fear of these tools being used to disrupt any number of cybersecurity safeguards implemented by US Government and commercial systems. Most notably, identity systems used to enable remote proof of identity and online access have found themselves in the crosshairs of attackers [1,2,3]. Many of these use real-time deepfake technology to defeat biometrics and human-supported identity verification systems. They use technical measures to insert (known as injection) modified or forged media (images or videos) into communication channels to defeat matching algorithms, presentation attack detection, or human reviewers. Protections against these attacks focus on two areas: defending against the injection and detecting the deepfakes. The project will focus on providing controls for the first and measurement for tools used in detection. No organization should rely on just one of these methods as it should be assumed that attackers will be able to achieve an injection. This makes accurate detection imperative, while at the same time, all efforts need to be made to deter injections since detection algorithms are nascent and will likely miss well-crafted deepfakes. Some products currently support detection capabilities, yet there are no well-established metrics, tests, or standards to measure the effectiveness of these technologies in combating real-world threats. This project will address this gap by evaluating risks posed by emerging injection techniques and real-time deepfakes and establishing a framework for measuring the efficacy of available controls. It will give NIST the foundation for a measurement-based approach to support federal government guidelines and future technology assessments. Ideally this research will set the framework for an ongoing technical evaluation capability like those established by the Face Recognition Technology Evaluation and Face Analysis Technology Evaluation programs. Key responsibilities will include but are not limited to: § Generating deepfake artifacts, § proposing a scientific framework for evaluation of different detection and prevention tools § recommending performance metrics for detection systems § Presenting results at internal meetings, and occasional meetings with external stakeholders. § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization § assisting in the development of research papers or guidelines § A Doctorate or in a Doctoral program with a focus on Computer Science, Engineering, or Cybersecurity § 5-8 years of relevant experience. § Expertise in biometric systems and biometric system threats § Ability to work with leading software and hardware to replicate deepfake threats and evaluate detection system performance § Familiarity with multiple scripting languages. § Ability to develop deepfake artifacts for testing. § Strong oral and written communication skills. Salary: $120,579-$149,315 Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 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Minimum Qualifications Education: Candidates must possess a doctoral degree in Geographical Sciences or a related field within environmental science, such as Biology or Forestry. Those with doctoral degrees in other disciplines (e.g., Physics, Computer Science, Electrical Engineering) who demonstrate substantial knowledge and understanding of land surface remote sensing are also eligible. Knowledge, Skills, and Abilities: Essential skills include competency in programming and statistical analysis, with experience in languages and tools such as Python, IDL , MATLAB , C/C++, R, PyTorch, TensorFlow. For the Assistant Research Professor level, a proven track record of independent research and peer-reviewed publications is required.

Functional Recovery Design of Steel Structures This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. A Senior Researcher is sought for a position in Structural Engineering to contribute to cutting-edge work on resilience-based seismic design of steel structures. This opportunity is part of a high-impact research effort focused on advancing the science of seismic design for damage control, post-earthquake performance, residual capacity, and repairability of steel buildings at both the component and system levels. The researcher will collaborate closely with leading experts at NIST and academia to accelerate the development of next-generation seismic design and post-earthquake evaluation procedures. Key Responsibilities: · Synthesize knowledge from past experimental tests and high-fidelity models of structural steel components. · Develop new nonlinear finite element models to address key data gaps in steel component behavior. · Translate findings into technical guidance that informs seismic design for damage control, post-earthquake assessment and decision-making for structural engineers. · Conduct nonlinear dynamic analyses and consequence modeling across a suite of steel building archetypes to demonstrate the real-world application of the developed procedures. · Ph.D. in Civil Engineering with a focus on the behavior of steel structures · Strong background in the behavior of structural steel components and nonlinear analysis of steel systems, with emphasis on seismic effects · Experience with OpenSees and/or other high-fidelity finite element software; proficiency in Python and/or MATLAB · Excellent written and oral communication skills · Strong publication record in leading peer-reviewed journals

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Powder Diffraction SRM Development The work will entail: This position will entail working with NIST staff on the Diffraction Metrology and Standards Program, which aims to develop world-leading instrumentation for X-ray diffraction and produce a suite of Standard Reference Materials for end users to calibrate their equipment and measurements with. Key responsibilities will include but are not limited to: § Maintenance, operation, and upgrades of NIST XRD equipment § Assistance with measurements and analysis related to certification of SRMs Ph.D. in Physics or similar field § Expertise with LabView and Python § Strong track record of building and troubleshooting custom lab equipment § Ability to work independently and as part of a team § Specialized experience with x-ray sources, optics, and detectors a plus (but not required) Salary: $50-60 per hour Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Part Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Biomedical engineer The work will entail: We are seeking to hire a biomedical engineer to be stationed at the NIST Gaithersburg Campus located in Gaithersburg, Maryland, close to Washington DC. The person hired for this position will provide technical support for executing cell-based experiments on laboratory automation systems. The person will be familiar with measurements methods for testing and experiment with biological cells. The person will also develop high-quality test methods through design-of-experiment techniques and sources of variability analysis with the use of automated instrumentation. Key responsibilities will include but are not limited to: § Perform biological assays (i.e. cell viability, antibody staining, flow cytometry, microscopy, fluorescence, absorbance) in a laboratory. § Assay plate design for automation systems. § Assay protocol adaptation to automation system control software (i.e. programming with Hamilton Venus) § Collaborate with a multidisciplinary team of researchers for design-of-experiment approaches for instrument performance analysis § Evaluation of replicate performance datasets in collaboration with NIST statisticians § Publish research findings in peer-reviewed journals and present at conferences and workshops. § Advanced degree (MS or PhD) in physics, engineering, biomedical engineering, biology or minimum 5-years experience in biotechnology related industry. § Experience with programming and using automation systems in the laboratory environment § Demonstrated ability to use advanced instrumentation and associated software for data analysis and system performance analysis. § Experience with performing common biological assays. § Demonstrated ability to write technical protocols, present results and generate data for reports. § Demonstrated ability for critical thinking, innovation and problem solving. § Ability to work independently and with a multi-disciplinary research team § Experience using spreadsheets and statistical software packages for data analysis. Salary: $111,688.00 Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 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The University of Nevada, Las Vegas (UNLV) appreciates your interest in employment. We ask that you keep in mind the following when completing your application: Once you start the application process you cannot save your work. Please ensure you have all required attachment(s) available to complete your application before you begin the process. Required attachments are listed below on the posting. Your application will not be considered without the required attachments. Please note that applications must be submitted prior to the close of the recruitment. Once a recruitment has closed, applications will no longer be accepted. If you need assistance or have questions regarding the application process, please contact Human Resources at ************** or ***************** Job Description The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar of Next Generation Sequencing (NGS) [R0145136]. We are seeking a motivated postdoc to join the Zhivagui Lab. Our lab uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and tumorigenesis. The Zhivagui Lab focuses on cancer genomics for cancer prevention. The incumbent will perform cellular and molecular lab work for projects investigating genomic and epigenomic alterations linked to cancer mechanisms, with a focus on biomarker discovery and validation. We are specifically looking for a postdoc to spearhead experimental projects at the intersection of cancer genomics and experimental modelling. The postdoc will apply and optimize new approaches for NGS library preparation and analyze genomic data for variant calling. We value diversity of backgrounds in our team and seek candidates who can commit to a multiyear appointment, reviewed annually. ROLE of the POSITION Design and execute experiments using molecular and cell biology techniques Process human biological samples, including isolation of cells from blood and tissues; store and ship samples Perform molecular biology procedures, including DNA and RNA isolation, PCR, gel electrophoresis, qPCR, dd PCR, next generation sequencing, and possibly others Perform NGS library preparations, such as whole-genome and whole-exome sequencing, 10x RNA-seq, etc. Perform cell culture procedures, including culture of primary cells, flow cytometry, single cell analysis methods, and possibly other techniques Implement, trouble-shoot, optimize, and develop new assays, making innovative contributions to laboratory procedures Assist with training of research methods and approaches to laboratory group Maintain detailed written record of work performed Perform analysis of experiment results and findings, including data collection, entry, statistical analysis, and graph creation Produce written reports detailing results of experiments and analysis of results; draft manuscripts of results for publication Present oral and/or poster reports at laboratory, local, and national meetings Assist with composition of grant applications. Assist in maintaining and monitoring all equipment and procedures for quality control Review pertinent medical literature PROFILE of the OFFICE OF POSTDOCTORAL AFFAIRS (OPA) The mission of the UNLV Office of Postdoctoral Affairs (OPA) is to enhance and support postdoctoral training and career development; serve as the central resource office for postdoctoral questions and issues for faculty, supervisors, mentors, and prospective and current postdocs; build a community for all UNLV postdocs; and provide professional development programs and networking events for postdocs. UNLV currently employs postdoctoral scholars across a wide range of disciplines. Learn more about UNLV's postdoctoral scholars. MINIMUM QUALIFICATIONS This position requires a doctorate degree, PhD, MD, or MD/PhD from an accredited college or university as recognized by the United States Department of Education and/or the Council on Higher Education Accreditation (CHEA) and experience in NGS technologies and genomic analysis. Job requirements include: PhD in biological related science, MD, MD/PhD, or equivalent combination of education and experience Experience in high-throughput screening, next-generation sequencing, or bioinformatics. Experience in cell culture of primary and stem cells. Preference for experience with iPSCs and organoids. Knowledge of principles and practice of cellular and molecular biology Working knowledge of safety standards in laboratories Excellent organizational skills Careful attention to detail; ability to accurately follow experimental protocols Ability to manage multiple projects, tasks, and priorities to achieve desired goals. Ability to think creatively, solve problems, and meet deadlines Ability to work under minimal supervision Strong written/oral communication skills Ability to analyze data and perform statistical analyses. Ability to make sound decisions in a manner consistent with the essential job functions. COMMITMENT to DIVERSITY and CAMPUS VALUES A successful candidate will support diversity, equity, and inclusiveness and contribute to a respectful, positive work environment. They will use our Campus Values to guide their decisions and actions and demonstrate our Rebel spirit. . SALARY RANGE Salary commensurate with labor market and appointing authority's availability of funds. BENEFITS OF WORKING AT UNLV Comprehensive health insurance including medical, dental, and vision No state income tax (if applicable) Comprehensive retirement plan and voluntary benefits programs Grant in Aid waives the non-resident fee for the employee and their eligible dependents at Nevada System of Higher Education (NSHE) schools PERKS Connect with colleagues with shared interests Employee recognition and appreciation programs Personal and professional development opportunities Discounted tickets for UNLV athletics Discounted tickets for UNLV Performing Arts Center and Nevada Conservatory Theatre Statewide employee purchase program discounts RebelCard discounts on and off campus Wellness programming for all UNLV faculty and staff at no cost HOW TO APPLY Submit a letter of interest, a detailed resume listing qualifications and experience, and the names, addresses, and telephone numbers of at least three professional references who may be contacted. References will not be contacted until the search chair notifies you in advance. Applicants should fully describe their qualifications and experience, with specific reference to each of the minimum and preferred qualifications because this is the information on which the initial review of materials will be based. Although this position will remain open until filled, review of candidates' materials will begin on April 10, 2025. Materials should be addressed to Dr. Maria Zhivagui, Search Committee Chair, and must be submitted through Workday, as we do not accept emailed materials. For assistance with the application process, please contact UNLV Human Resources at ************** or *****************. SPECIAL INSTRUCTIONS FOR INTERNAL NSHE CANDIDATES UNLV employees or employees within the Nevada System of Higher Education (NSHE) MUST use the “Find Jobs” process within Workday to find and apply for jobs at UNLV and other NSHE Institutions. Once you log into Workday, type "Find Jobs" in the search box which will navigate to the internal job posting site. Locate this specific job posting by typing the job requisition number, “R0145136” in the search box. If you complete an application outside of the internal application process, your application will be returned and you will have to reapply as an internal applicant which may delay your application. PROFILE of the UNIVERSITY Founded in 1957, UNLV is a doctoral-degree-granting institution comprised of approximately 30,000 students and more than 3,600 faculty and staff. To date, UNLV has conferred more than 152,000 degrees, producing more than 130,000 alumni around the world. UNLV is classified by the Carnegie Foundation for the Advancement of Teaching as an R1 research university with very high research activity, and is a recipient of the Carnegie Classification for Community Engagement. The university is committed to recruiting and retaining top students and faculty, educating the region's diversifying population and workforce, driving economic activity through increased research and community partnerships, and creating an academic health center for Southern Nevada that includes the launch of a new UNLV School of Medicine. UNLV is located on a 332-acre main campus and two satellite campuses in Southern Nevada. Here at UNLV, we have come together and created one of the most affirmative and dynamic academic environments in the country. UNLV sits in the top spot in U.S. News & World Report's annual listing of the nation's most diverse universities for undergraduates. The university has ranked in the top ten since the rankings debuted more than a decade ago. We continue to show our commitment to serving our wonderfully diverse population and building the future for Las Vegas and Nevada. For more information, visit us on line at: ******************* EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning free of discrimination on the basis of a person's age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender (including pregnancy related conditions), military status or military obligations, sexual orientation, gender identity or expression, genetic information, national origin, race (including hair texture and protected hairstyles such as natural hairstyles, afros, bantu knots, curls, braids, locks and twists), color, or religion (protected classes). Discrimination on the basis of a protected class, including unlawful harassment, which is a form of discrimination, is illegal under federal and state law. Where unlawful discrimination is found to have occurred, UNLV will act to stop the unlawful discrimination, to prevent its recurrence, to remedy its effects, and to discipline those responsible. TITLE IX STATEMENT The University of Nevada, Las Vegas, does not discriminate on the basis of sex in any education program or activity that it operates. Non-discrimination on the basis of sex is mandated by Title IX of the Education Amendments of 1972 (20 U.S.C. §§ 1681 et seq.) and the corresponding implementation regulations (34 C.F.R. Part 106). The University's commitment to nondiscrimination in its education programs and activities extends to applicants for admission and employment. Inquiries concerning the application of these provisions may be referred to: Michelle Sposito, J.D., Title IX Coordinator, University of Nevada, Las Vegas, 4505 S. Maryland Parkway, Box 451062, Las Vegas, NV 89154-1062, Frank and Estella Beam Hall (BEH) Room 553, Telephone: **************; Email: ***************************, or to The Assistant Secretary of the United States Department of Education, U.S. Department of Education, Office for Civil Rights, 400 Maryland Avenue, SW, Washington, D.C. 20202-1100; Telephone: ************** FAX: ************; TDD: **************; Email: **********; or to both. Information pertaining to the University's grievance procedures and grievance process, including how to report or file a complaint of sex discrimination, how to report or file a formal complaint of sexual harassment, and how the University will respond can be found online at the Office of Equal Employment & Title IX webpage. SAFETY AND SECURITY STATEMENT UNLV is committed to assisting all members of the UNLV community in providing for their own safety and security. The Annual Security Report and Annual Fire Safety Report compliance document is available online. JOB CATEGORY Postdoctoral Scholar Yes Full-Time Equivalent 100.0% Required Attachment(s) Submit a letter of interest, a detailed resume listing qualifications and experience, and the names, addresses, and telephone numbers of at least three professional references who may be contacted. References will not be contacted until the search chair notifies you in advance. Posting Close Date 12/31/2025 Note to Applicant This position may require that a criminal background check be conducted on the candidate(s) selected for hire. HR will attempt to verify academic credentials upon receipt of hiring documents. If the academic credentials cannot be verified, HR will notify the faculty member that an official transcript of their highest degree must be submitted within thirty days of the faculty member's first day of employment. References will be contacted at the appropriate phase of the recruitment process. As part of the hiring process, applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks. For positions that require driving, evidence of a valid driver's license will be required at the time of employment and as a condition of continued employment. All document(s) must be received on or before the closing date of the job announcements (if a closing date is provided). Recruitments that provide a work schedule are subject to change based on organizational needs.

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Data science and AI expertise and student advising The work will entail: The researcher will help advise the research associates working on the various projects related to Public data repository. The work includes advising, monitoring and managing the work for AI enabled PDR, automation of digital assets collection and dynamic visualization of the tabular data in PDR. Researcher will use its expertise in multidisciplinary science projects specifically computer and data science. Key responsibilities will include but are not limited to: Advise associates on various technologies Provide expertise in data science specifically AI and machine learning Guide and monitor the work regularly Meet with NIST staff and engage in discussions § A PhD in Computer Science, Engineering, Manufacturing, or a related field. § 10+ years of relevant experience. § Experience in cross domain projects for data science § Worked on large scale data management and analysis § Strong oral and written communication skills.

PREP Research Associate CHIPS Funded Project This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, and thus requires that such institutions be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Reliability Testing and Failure Analysis for Advanced Packaging of CHIPS The work will entail: The Infrastructure Materials Group at the National Institute of Standards and Technology seeks a researcher with knowledge of reliability testing and modeling for advanced semiconductor packaging and extensive expertise in one or more of the following technical areas: polymer degradation, thermal and mechanical analysis, failure analysis using microscopy, spectroscopy, or scattering based techniques, accelerated laboratory testing and thin film characterization. If selected, you will play a significant role in the projects related to reliability testing and modeling for advanced packaging in semiconductors. This includes working with NIST staff and external partners on planning and executing experimental research to evaluate changes in mechanical, thermal, and electrical properties of polymeric materials used in advanced packaging in CHIPS after aging under environmental stresses. The results will be used to understand the failure mechanism, develop more accurate prediction models for long-term reliability of advanced packaging reliability and provide a scientific basis for test method development, material selection, and product quality assurance for the semiconductor industry. Key responsibilities will include but are not limited to: · Characterizing the degradation of materials and interfaces before, during, and after exposure to accelerated laboratory aging. · Developing thermal conductivity/thermal resistance and specific thermal analyzers for samples used in CHIPS advanced packaging. · Conducting in-situ mechanical property (elastic modulus, storage modulus, material creep, relaxation, adhesion) measurements at different temperatures · Developing test protocol for X-ray computed tomography for analysis of packaged samples before and after multi-stress testing · Developing microscopic and spectroscopic analytical methods for complex advanced packaging systems. · Developing robust datasets of materials and interface properties before and after aging for reliability models. · Disseminating research results through presentations at conferences, publication of journal papers, and technical reports. • U.S. Citizen • Ph.D. in Materials Science / Mechanical Engineering / Electrical Engineering /Physics/Chemical Engineering/Chemistry • Strong oral and written communication skills • Experience in: • X-ray scattering or computed tomography • Nano- and micro-scale materials characterization • Degradation or failure analysis of polymeric materials • Experience in advanced semiconductor packaging is preferred

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Data science and AI expertise and student advising The work will entail: The researcher will help advise the research associates working on the various projects related to Public data repository. The work includes advising, monitoring and managing the work for AI enabled PDR, automation of digital assets collection and dynamic visualization of the tabular data in PDR. Researcher will use its expertise in multidisciplinary science projects specifically computer and data science. Key responsibilities will include but are not limited to: + Advise associates on various technologies + Provide expertise in data science specifically AI and machine learning + Guide and monitor the work regularly + Meet with NIST staff and engage in discussions § A PhD in Computer Science, Engineering, Manufacturing, or a related field. § 10+ years of relevant experience. § Experience in cross domain projects for data science § Worked on large scale data management and analysis § Strong oral and written communication skills. Salary: $102.5 per hour Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Part Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************