Doctoral Fellow jobs at The Johns Hopkins University Applied Physics Laboratory

- 70 jobs

Hyperspectral Imaging Scientist
Johns Hopkins Applied Physics Laboratory (APL 4.6
Doctoral fellow job at The Johns Hopkins University Applied Physics Laboratory
Do you see the world in hyperspectral technicolor? Do you have a passion for research and a desire to work on cross-disciplinary teams to develop novel hyperspectral imaging technologies-while contributing to an organization that values impact, innovation, and personal development? If so, we're looking for someone like you to join our team at APL! We are seeking a Hyperspectral Imaging Scientist to contribute to the advancement of state-of-the-art hyperspectral capabilities, including end-to-end system simulations, sensor modeling and characterization, algorithm design and implementation, software development, and field validation. As part of this, you will have an opportunity to collaborate within a multidisciplinary team of research engineers, physical scientists, chemists, and material scientists. As a Hyperspectral Imaging Scientist, you will... Design and develop advanced hyperspectral imaging algorithms. Execute analysis of hyperspectral imagery from lab experiments and field tests. Work on existing tasks and improve existing methodologies to provide enhanced remote sensing capabilities. Present research and findings to sponsors, academia, and industry via briefings, conference proceedings, and journal articles. Support field integration and testing activities, data analysis, and lab experimentation. Qualifications You meet our minimum qualifications for the job if you have... A Master's degree in imaging science, spectral science, engineering, computer science, data analytics, or equivalent. 5+ years of experience in hyperspectral image processing, algorithm development, subpixel algorithms, statistical signal processing techniques, atmospheric compensation algorithms, temperature emissivity separation algorithms, and radiative transfer theory. A Bachelor's and at least 8 years of relevant experience may be accepted in lieu of a Master's. An interest in broadening technical expertise to areas such as hyperspectral simulations, optical design, formulation chemistry, and orbital mechanics. A demonstrated ability to collaborate across a diverse set of technical disciplines, including image processing, computer science, software engineering, chemistry, and material science. Proficiency in MATLAB. Demonstrated experience in fundamental research and applied research. Willingness to travel to local and non-local destinations to support meetings and field tests of imaging systems. A results-oriented, self-motivated, and innovative mindset. Demonstrated ability to work independently and on a multidisciplinary team. Demonstrated excellent written and verbal communication skills to technical and non-technical audiences. Hold an active Secret security clearance and can ultimately obtain a TS/SCI 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... A PhD in a related field. 10+ years of experience in hyperspectral imaging. Experience in spectral deconvolution algorithms, hyperspectral image simulations, and hyperspectral sensor performance modeling. Experience with sensor APIs. Experience with embedded/low Size, Weight, and Power computing devices and/or small UAS sensor integrations. Working knowledge of C++ coding language. Demonstrated ability to serve as technical lead for a small team of research scientists. A wide network within the hyperspectral imaging community. Experience in writing proposals. An active Top Secret security clearance. #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 $100,000 Annually Maximum Rate $227,500 Annually
$56k-86k yearly est. 4d ago
2026 PhD Graduate - Artificial Intelligence and Machine Learning (AI/ML) Research Scientist
Johns Hopkins Applied Physics Laboratory 4.6
Doctoral fellow job at The Johns Hopkins University Applied Physics Laboratory
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
$45k-59k yearly est. Auto-Apply 60d+ ago
Postdoctoral Fellow (PREP0003276) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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: Staff Scientist The work will entail: Serve as a molecular biologist for the NIST microbiology program. This is a full-time laboratory position. Support the NIST microbiology program to develop microbial standards and work with microbial genomics team to characterize and develop reference materials. Key responsibilities will include but are not limited to: - Work with NIST research team to develop and validate new NGS-based microbial detection assays. - Consult and work with stakeholders in the microbiome and pathogen detection communities - Keep accurate and organized electronic records - Present results of the work in the form of reports, manuscripts, oral presentations § PhD or close to completion. § Strong oral and written communication skills. § 2 years of relevant laboratory experience. § Familiarity with molecular methods such as PCR, primer design, NGS, etc. § Familiarity with metagenomics and sequencing technologies. Salary: $82,000-$90,000 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. Please DO NOT include telephone numbers, home address or photos on your resume. 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 ********************************************************************************************
$82k-90k yearly 60d+ ago
Postdoctoral Fellow (PREP0003881) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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 recipients 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: Postdoctoral researcher The work will entail: Work with an interdisciplinary team to develop the experimental tools necessary for the characterization of scintillation materials in the extreme ultraviolet wavelength regime. Once tools are online, candidate will calibrate the tools and conduct measurements of scintillator materials for a final report. Key responsibilities will include but are not limited to: - Conduct literature review of candidate EUV scintillator materials and develop report based on review. - Work with a multidisciplinary team to construct, calibrate, and operate a scintillator characterization tool(s). - Interact with NIST staff to develop mechanical design of components for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans for integration of characterization systems into existing SURF III beamlines. - Prepares written reports and documentation for sample measurement, operation of instrumentation and safety. - Provide input for CHIPS quarterly progress reports. § Ph. D. in physics, Engineering, or a related field § Experience with the following: o Optical metrology instrument and detector design, o X-ray and/or EUV instruments, o Visible or UV microscopy experience, o Use and development Data acquisition hardware and software (LabVIEW and Python), o Statistical data analysis. § Strong oral and written communication skills. Salary: $85,000-$90,000 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 the 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. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work. 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 ********************************************************************************************
$85k-90k yearly 60d+ ago
Postdoctoral Fellow (PREP0003428) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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 help to add technical quality to methods that use complex cell models to investigate absorption of compounds and particles across the human digestive system . The person will also develop high-quality test methods through evaluation of potential control measurements and sources of uncertainty. Key responsibilities will include but are not limited to: § Biomanufacturing of cellular models that resemble physiological system such as the human digestive tract § Collaborate with a multidisciplinary team of researchers to evaluate relevant control measurements for methods that utilize these cellular models § Perform transepithelial electrical resistance measurements § Evaluation of control data in collaboration with NIST statisticians § Conduct experimental investigations to validate the model's performance with chemicals and other treatements § Publish research findings in peer-reviewed journals and present at conferences and workshops. § Advanced degree (MS or PhD) in physics, engineering, biomedical engineering, biology § Experience with biomanufacturing of complex cell models including multiple cell types § Demonstrated ability to use advanced instrumentation and associated software for analyzing and imaging these cell models § Experience with performing common cell methods such as viability assays and using plate readers § 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: $88,884.00 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. Please DO NOT include telephone numbers, home address or photos on your resume. 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 ********************************************************************************************
$88.9k yearly 60d+ ago
Postdoctoral Fellow (PREP0003537) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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: Accelerated Laboratory Testing and Failure Analysis for Advanced Semiconductor Packaging 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: accelerated laboratory testing, polymer degradation, mechanical characterizations for interfaces of multilayers, and failure analysis using microscopy, spectroscopy, or X-ray based techniques. 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: - Developing new test methods for thin film interfacial adhesion. - Characterizing the degradation of materials and interfaces before, during, and after exposure to accelerated laboratory aging. - Conducting in-situ environmental digital image correlation (DIC) to quantify package and assembly deformation during thermal cycling - Developing FIB/TEM/SEM analytical methods and X-ray-based techniques 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. - Live in the United States - Ph.D. in Materials Science / Mechanical Engineering / Electrical Engineering /Physics/Chemical Engineering/Chemistry - Strong oral and written communication skills - Experience in: - Reliability testing and modeling - Nano- and micro-scale materials characterization - Degradation or failure analysis of complex semiconductor systems - Experience in advanced semiconductor packaging preferred Salary: $82,000-$86,000 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. Please DO NOT include telephone numbers, home address or photos on your resume. 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. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work. 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 ********************************************************************************************
$82k-86k yearly 60d+ ago
Postdoctoral Fellow (PREP0003397) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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. Project Plan: The work will build on PML's current optomechanical accelerometry research and develop sensing optimized for inertial measurement. New sensors will be designed, modeled, fabricated, and fully packaged for deployment. Sensor performance will be measured in the lab and new techniques will be developed to characterize performance for inertial sensing. This supports PML work in Positioning, Navigation and Timing, as well as the national interest in developing this Critical Emerging Technology. This is applied research. The work will entail: Key responsibilities will include but are not limited to: + Designing new optomechanical sensors for inertial measurement + Fabricating devices in the NIST NanoFab, including packaging + Testing the sensors in the lab and measuring sensor performance + Performing acceleration measurements using the sensors + Assessing the uncertainty and other performance metrics of the sensors + Participating in field tests. § A Master's degree in Physics, Electrical Engineering, Mechanical Engineering, or a related field. § 3 years of relevant experience after the Master's degree or a Doctorate degree in Physics, Electrical Engineering, Mechanical Engineering, or a related field. § Ability to develop experimental apparatus using optics. § Ability to perform laboratory optical experiments. § Ability to analyze and model data. § Strong oral and written communication skills. Salary: $80,000-$85,000 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. Please DO NOT include telephone numbers, home address or photos on your resume. 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 ********************************************************************************************
$80k-85k yearly 60d+ ago
Postdoctoral Fellow Positions - Data Science and AI in Health and Medicine - #Faculty
Johns Hopkins University 4.4
Baltimore, MD jobs
We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve as the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI. The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI). We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include--but are not limited to--computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies. Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative. + PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field + Strong methodological and computational skills + Demonstrated interest or experience in health-related applications of statistical or data science methods + Strong written and oral communication skills + Ability to work collaboratively with interdisciplinary teams Salary: $65,000-75,000 per year Interested applicants should submit the following materials: + Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate's work could help advance data science and AI in the Department and University, and the candidate's larger career goals) + Curriculum vitae + Contact information for three references Applications will be reviewed beginning on October 15 and will be reviewed on a rolling basis until the positions are filled. 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 ********************************************************************************************
$65k-75k yearly 60d+ ago
Joint Postdoctoral Fellowship in Ethics, Global Health and Infectious Disease
Johns Hopkins University 4.4
Baltimore, MD jobs
The Johns Hopkins Berman Institute of Bioethics and the Wellcome Centre for Ethics and Humanities at the University of Oxford have established the Global Infectious Disease Ethics (GLIDE) collaborative with support from the Wellcome Trust. A central pillar of this partnership is a joint post-doctoral fellowship training opportunity. We are pleased to invite applications to the program from uniquely qualified individuals who are committed to interdisciplinary and transnational collaboration and who have a particular interest in the ethical issues at the intersection of global health and infectious disease. This two-year fellowship will begin September 1, 2026, pending funding approval. Qualifications and Opportunities: Doctoral-level degree in bioethics, philosophy, public health, law, medicine, social science, history or other relevant discipline, with fewer than five years of post-PhD research by the start date. Scholarly interests in ethical issues at the intersection of global health and infectious disease. Primary, in-residence appointment at Johns Hopkins and a residency requirement at the Wellcome Center. The exact nature, duration and timing of the Oxford residency is flexible and case-specific. Fellows will become integrated members of the ongoing post-doctoral training programs at both Institutions and have access to a wide range of activities and opportunities, including: Regular seminars, presentations and discussions with leaders in the field; Individualized research program; Bioethics coursework and mentorship; Professional development training; Teaching opportunities (commensurate with experience and background); Participation in outreach efforts via social media Salary/Benefits: $65,000 per year, plus health and other standard benefits available to all post-doctoral fellows of Johns Hopkins University Travel for the residency requirement and modest living expenses when overseas A modest discretionary fund for travel to relevant conferences Application Instructions The application window is now open. Applications are due by December 1, 2025, and must be uploaded via Interfolio. Cover Letter Personal statement in support of your application CV Copy of Graduate Transcript(s) Writing Sample Two Letters of Reference For more information on the Berman-Oxford GLIDE Post-doctoral Fellowship Program, please contact the Berman Institute's Associate Director for Global Programs (Joseph Ali, JD at ************) or Professor Anne Barnhill at ****************. Please note that PRO-UAW has established a union which represents postdoctoral researchers, including postdoctoral fellows and postdoctoral research fellows at the Johns Hopkins University. The University and PRO-UAW will be engaging in negotiations for a Collective Bargaining Agreement (CBA) that will set forth terms and conditions of employment and which could result in changes to the compensation and benefits described in this ad.
$65k yearly Easy Apply 60d+ ago
Postdoctoral Fellowship in Digital Health and Artificial Intelligence
Johns Hopkins University 4.4
Baltimore, MD jobs
Johns Hopkins Carey Business School invites applications for a postdoctoral fellowship position in the academic area of information systems, with a particular emphasis on digital health. This is a full-time research position The position is a two-year appointment with the possibility of extension. The position offers competitive compensation and benefits. The appointment will begin Winter 2025, or as soon thereafter as a successful candidate is identified. We are seeking candidates who have an interest in studying the social, behavioral and economic interactions underlying the use of digital technologies, analytics, and artificial intelligence in the healthcare sector. Candidates with a strong background in their disciplinary theories are preferred. We welcome applications from candidates motivated by the unique opportunity to participate in building a world-class business school at a premier private university. Qualified candidates for the postdoc position must have the following: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by employment start date. A demonstrated strong commitment to academic research. Core Responsibilities Conduct collaborative research at the intersection of artificial intelligence, digital technology and healthcare delivery, management and policy. Publish research findings in top-tier academic journals and present at leading conferences in IS, management, AI and healthcare conferences. Contribute to grant writing and funding proposals to support ongoing and new research initiatives. Collaborate with faculty, students, and industry partners on interdisciplinary projects that translate AI innovation into healthcare and business impact. Mentor undergraduate, graduate and PhD students who are involved in AI and healthcare projects. Additional Contributions Assist in developing teaching materials and presentations. Participate in research workshops, symposiums and conferences hosted by CDHAI. Support outreach efforts that engage industry, government and non-profit organizations in AI and healthcare initiatives.
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow - Atomistic Simulations and AI for Materials Design
Johns Hopkins University 4.4
Baltimore, MD jobs
The AtomGPTLab, led by Dr. Kamal Choudhary at Johns Hopkins University, invites applications for a Postdoctoral Fellow position in the fields of atomistic simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate experimental design and discovery of novel materials. The research spans quantum mechanics, statistical physics, and deep learning, and aims to enable AI-guided predictions of synthesizable and functional materials such as superconductors, catalysts, semiconductors, and energy-relevant compounds. The position is embedded in an interdisciplinary and collaborative environment with active interactions across experimental groups and national laboratories. Basic Qualifications or Specialized Certifications A PhD in Materials Science, Physics, Chemistry, Chemical Engineering, Computer Science, or a related field. Demonstrated experience in one or more of the following: Density Functional Theory (DFT), machine-learned force fields (MLFF), graph neural networks (GNNs), or large language models (LLMs). Extensive Knowledge In: First-principles simulations with packages such as VASP, Quantum ESPRESSO, GPAW. Machine-learned interatomic potentials (e.g., ALIGNN-FF). Structure-property prediction using GNNs (e.g., ALIGNN,). LLM fine-tuning and prompt engineering (e.g., HuggingFace, OpenAI, AtomGPT). Working Knowledge Of: Workflow tools (e.g.,JARVIS-Tools, ASE) and HPC environments. Software development in Python, Git-based version control, and Conda packaging. Data integration and surrogate modeling using experimental and computational datasets. Interdisciplinary collaboration and mentoring of students or junior researchers. Specific Duties & Responsibilities Conduct high-throughput DFT calculations and manage large-scale materials datasets. Develop GNN architectures for predicting materials properties from atomic graphs. Train and deploy machine-learned force fields for MD simulations and rapid screening. Fine-tune or pre-train LLMs for generation and analysis of materials structures, synthesis protocols, and characterization outputs. Build pipelines for combining experimental and simulated data for inverse design. Provide real-time computational feedback to experimental collaborators for synthesis and characterization. Lead manuscript writing, conference presentations, and contributions to open-source repositories. Mentor undergraduate and graduate students, and participate in grant proposal development. Additional Opportunities Collaborate as Co-PI on interdisciplinary proposals. Engage with experimental groups, national labs, and industry partners. Participate in the development of open cyberinfrastructure (e.g., AtomGPT.org). Attend international conferences and contribute to global research communities. Access to cutting-edge computing clusters and experimental characterization tools.
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003565)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003125)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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: Exoskeleton, Legged and Humanoid Robots, and Human-Robot Interaction Research The work will entail: To support the National Institute of Standards and Technology's effort to develop standard test methods for exoskeletons, legged robots, and human-robot interaction standards. Key responsibilities will include but are not limited to: Conducting state-of-the-art measurement science research in robotics for manufacturing and other applications. Programming of physical and simulated robots using a variety of software. Use machine learning and other AI techniques to enhance robot capabilities, particularly in the realm of HRI. Helping develop standards for autonomous robots, wearable robots, and augmentative robots that seamlessly integrate into human environments. Implementing state-of-the-art whole-body-controllers and control techniques for humanoid robots and powered exoskeletons. Collaborating with interdisciplinary teams to design, simulate, and optimize robotic systems using advanced software tools. Publishing results in peer-reviewed journals and/or at conferences. Develop test apparatuses, performance metrics, and data collection tools for evaluating robot capabilities. Validate the repeatability and reproducibility of the tests for various classes of robotic systems. · Ph.D. in Mechanical Engineering or closely related field. · Experience in: Robotics and automation, system dynamics, linear and non-linear control systems, adaptive control, optimal control, whole-body control, human-robot interaction, powered and passive exoskeletons, legged robots, machine learning, AI applications, reinforcement learning, control tuning and implementation, and motion planning. · Proficiency in programming languages such as Java, Matlab, Python, C/C++ · Proficiency in ROS, Latex, and 3D CAD
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003525)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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: Deployable Doppler Broadening Thermometry The work will entail: Researcher will develop next-generation deployable, calibration-free Doppler thermometers. The Doppler broadening of spectral lines relates gas temperature to SI-defining physical constants and immutable gas properties, allowing primary thermometry. Achieving the size, accuracy, and measurement speed sufficient for thermometry in industrial applications requires new approaches to absorption spectroscopy. First, to reduce the size, the project will use microfabricated atomic vapor cells. Second, the project will incorporate narrow linewidth lasers from optical frequency metrology to refine knowledge of atomic properties, allowing atomic Doppler thermometry with unprecedented accuracy. Third, the project will employ tunable electro-optic frequency combs to boost measurement speed. The researcher will integrate these three technologies to yield a portable Doppler thermometer with a sensor size comparable to a standard thermometer, but with the advantage that it never has to be calibrated. Key responsibilities will include but are not limited to: Setup and maintain optical setups for frequency and intensity locking lasers against spectroscopy cells, high-finesse optical cavities, and other lasers. Characterize laser frequency noise. Participate in the design and construction of vapor cell mounts and thermometer sensor heads. Design, test, and implement compact fiber coupling methods for microfabricated vapor cells in collaboration with other groups at NIST. Participate in data analysis and modelling efforts. Program automated data collection systems and integrate analysis for automatic temperature readout. Disseminating project results via peer-reviewed publications and public presentations. § Ph.D. in Physics or a related field. § Experience in one or more of the following: o Frequency stabilization of laser systems. o Atomic or molecular spectroscopy. o Optical frequency metrology. o Electro-optic frequency combs. o Temperature metrology using platinum resistance thermometers. o Python programming.
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003459)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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. The project will focus on developing a procedure for quantifying uncertainties in wind loads on a tall building estimated by Computational Fluid Dynamics (CFD) techniques. The research work will include i) development and application of state-of-the-art computational techniques for simulation of flow around tall buildings, (ii) quantification of uncertainty in the computational simulations, and (iii) comparison of simulation results with wind tunnel and field measurements. All CFD code will be developed for implementation into the OpenFOAM software. Key responsibilities will include but are not limited to: § Developing CFD modeling procedures for simulating of flow around tall buildings and implementing related codes in OpenFOAM § Performing numerical simulations and quantifying uncertainties in the simulation results § Analyzing simulation data and comparing them with measured data from wind tunnel tests. § Ph.D. in Engineering, Physics, Applied Mathematics, or a related field. § Prior experience and contributions in wind engineering, Computational Fluid Dynamics, and scientific computing. § Familiarity with OpenFOAM to develop and maintain codes. § Strong programming and analytical skills for pre-/post-processing and analysis (e.g., Pointwise, Paraview, Tecplot, MATLAB, and Python)
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003397)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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. Project Plan: The work will build on PML's current optomechanical accelerometry research and develop sensing optimized for inertial measurement. New sensors will be designed, modeled, fabricated, and fully packaged for deployment. Sensor performance will be measured in the lab and new techniques will be developed to characterize performance for inertial sensing. This supports PML work in Positioning, Navigation and Timing, as well as the national interest in developing this Critical Emerging Technology. This is applied research. The work will entail: Key responsibilities will include but are not limited to: Designing new optomechanical sensors for inertial measurement Fabricating devices in the NIST NanoFab, including packaging Testing the sensors in the lab and measuring sensor performance Performing acceleration measurements using the sensors Assessing the uncertainty and other performance metrics of the sensors Participating in field tests. § A Master's degree in Physics, Electrical Engineering, Mechanical Engineering, or a related field. § 3 years of relevant experience after the Master's degree or a Doctorate degree in Physics, Electrical Engineering, Mechanical Engineering, or a related field. § Ability to develop experimental apparatus using optics. § Ability to perform laboratory optical experiments. § Ability to analyze and model data. § Strong oral and written communication skills.
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003537)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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: Accelerated Laboratory Testing and Failure Analysis for Advanced Semiconductor Packaging 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: accelerated laboratory testing, polymer degradation, mechanical characterizations for interfaces of multilayers, and failure analysis using microscopy, spectroscopy, or X-ray based techniques. 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: · Developing new test methods for thin film interfacial adhesion. · Characterizing the degradation of materials and interfaces before, during, and after exposure to accelerated laboratory aging. · Conducting in-situ environmental digital image correlation (DIC) to quantify package and assembly deformation during thermal cycling · Developing FIB/TEM/SEM analytical methods and X-ray-based techniques 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. • Live in the United States • Ph.D. in Materials Science / Mechanical Engineering / Electrical Engineering /Physics/Chemical Engineering/Chemistry • Strong oral and written communication skills • Experience in: • Reliability testing and modeling • Nano- and micro-scale materials characterization • Degradation or failure analysis of complex semiconductor systems • Experience in advanced semiconductor packaging preferred
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0002996)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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 recipients 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: Postdoctoral Research Chemist The work will entail: Develop targeted and non-targeted analytical mass spectrometric methods for the identification and quantification of organic contaminants in ultra-pure water and other cleaning chemicals used in the semiconductor industry. Explore various extraction and concentration techniques (SPE, SPME, purge-and-trap, headspace, etc.) and/or develop novel concentration techniques to be able to detect contaminants at trace levels. Use high-resolution mass spectrometry for compound discovery of potential unknown organic contaminants. Key responsibilities will include but are not limited to: Develop new methods, approaches, and procedures in cooperation with coworkers or advisors with limited supervision; Using advanced analytical equipment such as GC-MS, GC-MS/MS, GC-HRMS, LC-MS/MS, and LC-HRMS; Develop non-targeted high-resolution mass spectrometry-based methods for compound discovery at trace levels; Investigate various extraction and concentration protocols, and if needed develop novel techniques; § Communicate and collaborate with team members; and § Ph.D. in Chemistry, or a related field. § Experience in chromatography and mass spectrometry such as GC-HRMS, GC-MS/MS, LC-HRMS, LC-MS/MS, etc. § Experience with non-targeted data analysis for compound discovery. § Experience with method development. § Experience with various sample extraction and concentration techniques. § Strong oral and written communication skills.
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003524)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
PREP Research Associate This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). 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 recipients 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: Development of Acoustic-Based Standards for Gas Flow Metrology The work will entail: The NIST Fluid Metrology Group (FMG) is seeking a motivated individual with a background in acoustics, or physics, or engineering to join our team. The FMG has a long history of providing high fidelity, low uncertainty measurements that are traceable to the SI units of flow. Measurements made by the FMG support commodity transfer, manufacturing, energy, and many other US industries by performing calibration of transfer standards. The group is currently working to develop new flow standards and measurement capabilities based on acoustics. As a member of our multi-disciplinary team, you will collaborate closely with experts in instrumentation, metrology, acoustics, physics, and engineering to develop and enhance flow measurement techniques and calibration systems. The team is developing a new flow metering technique based on long-wavelength acoustic time-of-flight as well as a density measurement technique based on characteristics of resonant spectra of acoustic resonators, and we seek a highly motivated individual to contribute to this work. Key responsibilities will include but are not limited to: Contribute to the design, construction, and testing of a flowmeter based on long-wavelength acoustics. Collaborate in the development of theoretical models of acoustic dissipation in a resonant cavity. Implement advanced signal analysis techniques on acoustic signals in order to reduce uncertainty and improve speed while determining fluid properties. Conduct research to implement novel approaches for measuring fluid flow and determining gas density based on acoustics and advanced signal processing. Present research findings, technological developments, and calibration results at internal meetings, external stakeholder meetings, and scientific conferences. A Ph.D. in engineering or physics or related field. A background in conducting experimental research, particularly related to acoustics, fluid flow, signal analysis, or metrology, is important. Ability to control, operate and automate scientific test equipment and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, MATLAB, or LabVIEW. Strong oral and written communication skills.
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003428)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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 help to add technical quality to methods that use complex cell models to investigate absorption of compounds and particles across the human digestive system. The person will also develop high-quality test methods through evaluation of potential control measurements and sources of uncertainty. Key responsibilities will include but are not limited to: § Biomanufacturing of cellular models that resemble physiological system such as the human digestive tract § Collaborate with a multidisciplinary team of researchers to evaluate relevant control measurements for methods that utilize these cellular models § Perform transepithelial electrical resistance measurements § Evaluation of control data in collaboration with NIST statisticians § Conduct experimental investigations to validate the model's performance with chemicals and other treatements § Publish research findings in peer-reviewed journals and present at conferences and workshops. § Advanced degree (MS or PhD) in physics, engineering, biomedical engineering, biology § Experience with biomanufacturing of complex cell models including multiple cell types § Demonstrated ability to use advanced instrumentation and associated software for analyzing and imaging these cell models § Experience with performing common cell methods such as viability assays and using plate readers § 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.
$46k-56k yearly est. 60d+ ago