Postdoctoral Scholar jobs at The Johns Hopkins University Applied Physics Laboratory - 78 jobs

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 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

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: Guidelines Development for Smart IoT Product Security The work will entail: - Development of guidelines for Smart IoT products security across the lifecycle from product development and manufacturing through use and operation to maintenance and end of life. - Identifying the interaction of IoT product components with AI engines (i.e., providing data to feed models which in turn identify autonomous actions for the IoT product to take) and the cybersecurity risks of each step of this interaction - Updating and completing CSWP 33 Product Development Cybersecurity Handbook: Concepts and Considerations for IoT Product Manufacturers to incorporate products with AI components Key responsibilities will include but are not limited to: + Updating analysis of international IoT cybersecurity standards and guidance identifying common elements and unique contributions for consideration + Identifying risk modeling and management methods that are applicable for IoT products with AI components + Identifying cybersecurity and privacy implications of the convergence of IoT and AI + 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. Position is Remote. ? A Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Systems Engineering, Industrial Design or Engineering, Manufacturing, Engineering Management, Technical policy or related field. ? 6 years of relevant experience. ? Familiarity with IoT product development processes ? Familiarity with autonomous systems ? Familiarity with artificial intelligence systems ? Familiarity with cybersecurity guidance and standards ? Strong oral and written communication skills Salary: $75,000 - $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 - Languages spoken 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

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: Hardware-software integration for quantum waveform metrology The work will entail: The Research Associate will work with NIST staff on the development of specialized software, hardware, and techniques for advancing the state-of-the-art in quantum waveform metrology. The Associate will be mentored by experts in the field of quantum-referenced electrical measurements and can expect to acquire advanced technical skills in precision measurements, signal processing, cryogenics, and RF engineering. Key responsibilities will include but are not limited to: § Develop object-oriented software for instrument control and for acquisition, processing, visualization, and storage of interrelated measurement data. § Assist with the setup and execution of research experiments in quantum waveform metrology. § Assist with analog and digital circuit design, layout, and fabrication of hardware for use with superconducting and conventional electronics. § Use 3D computer aided design tools for the design of custom instrumentation hardware. § Participate in the dissemination of research efforts through written publications and presentations. § Actively increase knowledge and awareness of relevant work in the literature. § Understand and help ensure compliance with all NIST environment, safety, health, and quality program requirements. ? A bachelor's degree in electrical or computer engineering, physics, or another closely related field from an accredited university or college. ? Experience working in a technical/research environment (including internships and co-ops). ? Proficiency using (or willingness to learn) MATLAB for hardware control, data acquisition, visualization, and analysis. ? Experience using test and measurement hardware, such as oscilloscopes, spectrum analyzers, lock-in amplifiers, arbitrary waveform generators. ? Enthusiasm for solving challenging technical problems. ? Excellent oral and written communication skills. Salary: $70,000 - $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. 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

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: Benchmarking Privacy-Enhancing Technologies Project Description: This project focuses on benchmarking privacy-enhancing technologies (PETs) to assess their effectiveness in protecting sensitive information. The candidate will work as part of a team to conduct experiments and write research reports that focus on work from the NIST PETs Testbed, including the Collaborative Research Cycle (**************************************************************** , which benchmarks synthetic data generators, and the Privacy Red Teaming Exercise for Genomic Federated Learning (*************************************** . The student will have the opportunity to explore various research topics, such as conducting or analyzing privacy attacks, investigating the statistical properties of input and output data, and implementing and tuning PETs. Projects will be matched with the student's interests and background. Key responsibilities will include but are not limited to: - Conducting original research under the guidance of senior scientists - Collaborating with team members to design and execute experiments - Analyzing results and contributing to the writing of research reports - Implementing and tuning PETs to assess their effectiveness Position is Remote To be considered for this project, candidates should have: - seeking a graduate degree - Strong sense of curiosity and - Strong analytical and problem-solving skills - Experience with Python programming is preferred - An interest in privacy and data protection is preferred - Familiarity with scientific reading and technical writing Salary: $5200-6500 per pop 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 - Languages spoken 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

Are you a theorist with expertise in gate-based quantum computing? Are you looking to take part in impact research in quantum information science? Do you want to work with a vibrant team of experimental and theoretical physicists? If you are graduating with a PhD in physics or a closely-related field and want to work in quantum science, we'd love to have you join our team! We are seeking a newly graduated PhD who is a creative quantum scientist to help us grow new projects and mature existing ones. As a member of our team, you 'll contribute to research that will pave the way for real-world experimental results. You will join our hardworking team of quantum scientists who are passionate about building new and exciting solutions to expand the state-of-the-art in quantum science. We strive to foster an environment of collaboration and teamwork. Our team is committed to integrity and honesty, and values substance and innovation. As a Quantum Information Science Theorist at APL you will... * Propose and lead independent research projects in quantum algorithm development and scalable approaches to quantum error characterization and protection. * Work collaboratively with other APL staff to identify emerging challenges with quantum solutions. * Support ongoing programs in quantum information science by making immediate contributions to efforts modelling physically motivated quantum systems, and developing relevant characterization, control, and error correction strategies. Qualifications You meet our minimum qualifications if you... * Have a PhD in Physics, Mathematics, Computer Science, or a closely related field. * Experience with programming and software development. * Have research, accomplishments, and publications in the field of quantum information science. * Have excellent written and verbal communication skills. * Are willing to occasionally travel to sponsor sites, conferences and workshops. * Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Are able to obtain a TS/SCI w/ Polygraph security clearance. If selected, you will be subject to a government security clearance investigation and need to meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You will go above and beyond our minimum requirements if you... * Have experience with developing and/or assessing quantum error correction strategies * Knowledge and experience with implementing quantum noise characterization and control techniques. * Have high-performance-computing experience. * Have a record of significant contributions on collaborative projects pursuing highly sophisticated objectives. * Have experience working closely with experimentalists. * Have an active TS/SCI w/ Polygraph security clearance. 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 $105,000 Annually Maximum Rate $245,000 Annually

PREP Research Associate Project Description This project focuses on using Large Language Models (LLMs) to provide annotations of evaluation data (a.k.a., LLM as judge), and the design of an Inter-Annotator Agreement study to assess the reliability of both human and LLM annotations. The candidate will explore assessing the indicators of a given AI-related risk, determining how to identify them, and providing annotators with examples to annotate the presence of various risks. The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at NIST in assessing and measuring the validity and reliability of AI-related risks in data annotation. Research Title Reliability of Human and LLM Annotations for AI Risk Assessment Key Responsibilities · Gain familiarity with existing literature on data annotation and LLM as judge · Understand NIST's role and ongoing efforts in assessing and measuring the validity and reliability of AI-related risks in data annotation · Contribute to developing an annotation framework for AI risk assessment · Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables Contributions to a NIST report that supports ongoing NIST AI evaluation efforts focused on the design of an Inter-Annotator Agreement to assess the reliability of both human and LLM annotations. Background in Computer Science, Data Science, or related field. Education level : undergraduate or graduate student Strong interest in data annotation and AI risks Familiarity with scientific reading and technical writing Number of Positions: 1 The details of the work arrangement can be discussed and agreed upon, but the position is expected to be primarily telework-based, with some in-person meetings at NIST's Gaithersburg campus as needed. Average Hours Per Week: 20

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: Research Workflow Engineer (RWE) The work will entail: The Design, development, testing and deployment of a pipeline to accommodate common research data workflows. Use cases will be selected from CHIPS Metrology funded projects. The RWE will work with the NIST research data infrastructure team to connect different existing systems and processes within the research lifecycle to create a scalable and auditable data movement pipeline. Considerations for worklflow and data movement include data source and destination attributes , data sensitivity level, and access control. Key responsibilities will include but are not limited to: § Develop an understanding of the systems and processes of typical research data workflow. § Design, develop, test, and deploy a workflow system that will work with existing system components and accomplish a scalable and auditable data movement pipeline. § Incorporate data orchestration and movement with tools such as Apache Airflow and Kaftka, or Dagster (or other worthy alternatives) § Attend and present results at the weekly Research Data Infrastructure meetings. § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. § Regular meetings with NIST staff § A bachelor's degree in Computer Science, Engineering, Manufacturing, or a related field. § 2-3 years of relevant experience. § Familiarity with DevOps and CICD pipelines. § Ability to work with real-time event data at scale. § Familiarity with multiple scripting languages. § Ability to develop prototypes of tools needed to analyze data. § Strong oral and written communication skills.

PREP Research Associate Project Description This project contributes to the development of the Metrics Hub within the NIST's Trustworthy and Responsible Artificial Intelligence Resource Center (AIRC). The student will assist in collecting and packaging relevant metrics for AI testing, identifying key metadata that support the creation of accessible resources for the AIRC website, benefiting the broader AI community and the public. This project will support the operationalization of the NIST AI Risk Management Framework (AI RMF 1.0) by providing essential metrics for testing, evaluation, verification, and validation (TEVV) of AI systems. Research Title AIRC Metric Hub Development Key Responsibilities Identify and collect relevant metrics for AI TEVV, aligning with the AI RMF 1.0. Curate the collected metrics, ensuring they are packaged, accessible and usable for the users of the AIRC website Help design relevant use cases that contextualize metrics for the border AI community Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables A set of AI metrics are identified, packaged, and made available through the AIRC Metrics Hub. Estimating 2-5 metrics per month. Draft document outlining at least one use case per metric that illustrates the practical application in AI testing.of Familiarity with concepts related to testing, evaluation, verification, and validation (TEVV) of AI systems Background in Computer Science, Statistics, HCI, or related field Education level: graduate student Strong interest in metrics for AI systems Familiarity with scientific reading and technical writing.

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: Contributions to voluntary consensus standards on artificial intelligence The work will entail: Supporting the NIST artificial intelligence research and evaluation programs in contributing to standards developing organizations (SDOs) Key responsibilities will include but are not limited to: Identifying SDO projects, committees, or calls for input to which NIST experts should contribute. Crafting NIST written contributions to those projects, committees, or calls for input. Distributing SDO materials and potential NIST contributions to other NIST experts for input and review. Submitting NIST contributions in a timely fashion. Attending SDO committee meetings, including international meetings, to discuss contributions from NIST, other U.S. contributors, and international contributors. § Sharing information about contributions and standards activities with interested NIST experts. § If applicable, acting as an editor or in another leadership capacity for standards projects. § A Master's degree in Computer Science or a related field, OR a Bachelor's degree in such a field and professional experience equivalent to a Master's degree in such a field. § Familiarity with machine learning methods, including hands-on implementation experience with at least two machine learning-driven systems. § Familiarity with AI governance guidelines such as the NIST AI Risk Management Framework. § Strong oral and written communication skills, including both envisioning structure and content for nascent documents and line editing mature documents for technical precision and readability.

PREP Research Associate Project Description This project contributes to the development of the Metrics Hub within the NIST's Trustworthy and Responsible Artificial Intelligence Resource Center (AIRC). The student will assist in collecting and packaging relevant metrics for AI testing, identifying key metadata that support the creation of accessible resources for the AIRC website, benefiting the broader AI community and the public. This project will support the operationalization of the NIST AI Risk Management Framework (AI RMF 1.0) by providing essential metrics for testing, evaluation, verification, and validation (TEVV) of AI systems. Research Title AIRC Metric Hub Development Key Responsibilities + Identify and collect relevant metrics for AI TEVV, aligning with the AI RMF 1.0. + Curate the collected metrics, ensuring they are packaged, accessible and usable for the users of the AIRC website + Help design relevant use cases that contextualize metrics for the border AI community + Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables + A set of AI metrics are identified, packaged, and made available through the AIRC Metrics Hub. Estimating 2-5 metrics per month. + Draft document outlining at least one use case per metric that illustrates the practical application in AI testing.of + Familiarity with concepts related to testing, evaluation, verification, and validation (TEVV) of AI systems + Background in Computer Science, Statistics, HCI, or related field + Education level: graduate student + Strong interest in metrics for AI systems + Familiarity with scientific reading and technical writing. Salary: $20-$30 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 the information you submit for the purpose stated. Job Type: Part Time

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 work will entail: Identifying and developing metrics for NIST's Artificial Intelligence (AI) efforts to assess industrial uptake and impact. Key responsibilities will include but are not limited to: § Become familiar with NIST's AI outputs and stakeholders § Perform a literature review and analysis on various approaches and metrics to measure uptake and impact § Perform a detailed analysis using relevant statistical tools of the status and uptake of NIST AI outputs and provide metrics on impacts and trends § Through this analysis, provide recommendations on opportunity areas where NIST should dedicate resources to realize greater impact of our AI outputs. § A Bachelor's degree (or higher) in Business/Economics, Social Sciences, Engineering, Mathematics or a related field. § Familiarity with artificial intelligence, statistical analysis, and data collection. § Understanding of American government and politics § Strong oral and written communication skills. Salary: $20-$30 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

PREP Research Associate Project Description This project focuses on documenting the Assessing Risks and Impacts of AI (ARIA) dataset, which is used to evaluate risks as part of a NIST ARIA Program. The student will assist in the design and development of a comprehensive dataset card aligned with emerging standards for AI, including the principles of transparency, reliability, and reproducibility. This work supports the advancement of rigorous, standardized data documentation practices consistent with federal and international frameworks. Research Title AI Dataset Documentation Key Responsibilities + Collaborate with AI researchers to develop a dataset card documenting the technical and operational parameters of datasets used in AI evaluations and emerging AI standards. + Identify and describe the dataset's technical parameters, including intended use, limitations, collection methods, and risk-relevant features. + Conduct quality assurance checks to detect anomalies, inconsistencies, and completeness issues in the dataset. + Assist in the preparation of the dataset for public release, including metadata curation, file organization, and access provisioning. + Apply and assess data anonymization techniques to ensure privacy compliance and mitigate re-identification risks. Deliverables + A dataset card following relevant documentation standards. + A finalized version of the dataset curated for public release, with accompanying metadata. + A report summarizing identified data limitations, anonymization procedures applied, and mitigation strategies for potential risks. + A checklist-based audit log of quality assurance checks performed. + Background in Data Science, Computer Science, Information Science, HCI, or a related field. + Education level: graduate student + Familiarity with dataset documentation standards and risk assessment frameworks (e.g., NIST AI Risk Management Framework) + Strong written communication skills for technical documentation. Salary: $20-$30 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

PREP Research Associate Project Description This project focuses on using Large Language Models (LLMs) to provide annotations of evaluation data (a.k.a., LLM as judge), and the design of an Inter-Annotator Agreement study to assess the reliability of both human and LLM annotations. The candidate will explore assessing the indicators of a given AI-related risk, determining how to identify them, and providing annotators with examples to annotate the presence of various risks. The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at NIST in assessing and measuring the validity and reliability of AI-related risks in data annotation. Research Title Reliability of Human and LLM Annotations for AI Risk Assessment Key Responsibilities - Gain familiarity with existing literature on data annotation and LLM as judge - Understand NIST's role and ongoing efforts in assessing and measuring the validity and reliability of AI-related risks in data annotation - Contribute to developing an annotation framework for AI risk assessment - Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables + Contributions to a NIST report that supports ongoing NIST AI evaluation efforts focused on the design of an Inter-Annotator Agreement to assess the reliability of both human and LLM annotations. + Background in Computer Science, Data Science, or related field. + Education level : undergraduate or graduate student + Strong interest in data annotation and AI risks + Familiarity with scientific reading and technical writing Number of Positions: 1 The details of the work arrangement can be discussed and agreed upon, but the position is expected to be primarily telework-based, with some in-person meetings at NIST's Gaithersburg campus as needed. Average Hours Per Week: 20 Salary: $20-$30 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 the information you submit for the purpose stated. Job Type: Part Time

PREP Research Associate Project Description This project focuses on using Large Language Models (LLMs) to provide annotations of evaluation data (a.k.a., LLM as judge), and the design of an Inter-Annotator Agreement study to assess the reliability of both human and LLM annotations. The candidate will explore assessing the indicators of a given AI-related risk, determining how to identify them, and providing annotators with examples to annotate the presence of various risks. The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at NIST in assessing and measuring the validity and reliability of AI-related risks in data annotation. Research Title Reliability of Human and LLM Annotations for AI Risk Assessment Key Responsibilities - Gain familiarity with existing literature on data annotation and LLM as judge - Understand NIST's role and ongoing efforts in assessing and measuring the validity and reliability of AI-related risks in data annotation - Contribute to developing an annotation framework for AI risk assessment - Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables + Contributions to a NIST report that supports ongoing NIST AI evaluation efforts focused on the design of an Inter-Annotator Agreement to assess the reliability of both human and LLM annotations. + Background in Computer Science, Data Science, or related field. + Education level : undergraduate or graduate student + Strong interest in data annotation and AI risks + Familiarity with scientific reading and technical writing Number of Positions: 1 The details of the work arrangement can be discussed and agreed upon, but the position is expected to be primarily telework-based, with some in-person meetings at NIST's Gaithersburg campus as needed. Average Hours Per Week: 20 Salary: $20-$30 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 the information you submit for the purpose stated. Job Type: Part Time

Perception Performance of Robotic Systems 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. Position Description The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various manufacturing applications. The research will focus on conducting experiments and analyzing data to understand these systems' performance and support the development of standards for measuring their depth error and depth resolution, as well as for measuring the performance of robotic systems used for bin-picking applications. Duties: The duties will be tailored to fit the applicant's qualifications and the applicant will be trained on the use of certain systems needed for the following possible duties: ? Programming and maintaining robots (arms, mobile robots, exoskeletons, etc.). ? Operating and maintaining measurement equipment (e.g., laser trackers, laser scanners, oscilloscopes, etc.). ? Preparing and maintaining laboratories to support experiments. ? Conducting experiments in support of the development of standards. ? Assisting in recording and analyzing test data and preparing test reports. ? Performing simple preventative maintenance, troubleshooting, adjustment, and repairs of laboratory equipment. ? Keeping laboratories clean and organized. ? Assisting in performing market research for purchases required for the laboratories. ? Using CAD software to design parts, end-of-arm tooling, and fixtures. ? Working with NIST and/or external resources to have parts fabricated. ? Recording knowledge and best practices to help improve efficiency and productivity. ? Conducting tests in the laboratory as well as in the field. Not all the qualifications below are required. ? Associate or bachelor's degree in physical sciences, engineering or related field (or a training certificate in robotics, engineering, or automation). ? Experience using gauge blocks and/or micrometers. ? A basic understanding of geometric dimensioning and tolerancing (GD&T). ? Experience in using digital oscilloscopes, multimeters, and environmental monitoring instruments (thermometers, hygrometers, etc.). ? Experience with CAD software such as Solidworks. ? Experience in programming robots (using a teach pendant, hand guidance, and a command line interface). ? Experience using basic hand and power tools. ? Experience using fused deposition modeling (FDM) 3D printers. ? Experience in operating in laboratory environments in a safe manner. ? Be able to work without close supervision in a team environment. ? Experience in using software tools such as Matlab, Python, Excel (or other) to analyze data. Desired Qualifications: ? Experience in using dimensional measurement instruments (such as laser trackers, laser scanners, coordinate measurement machines, etc.). ? Experience in using Python, C++, C#, JAVA, etc. for programming/controlling robots. ? Experience in using the robot operating system (ROS) to program robots. ? Experience in using simulation software (e.g., MoveIT, RoboDK, etc.) to program robots. ? Experience with basic machine tools (e.g., drill press, band saw, lathe, etc.). ? Experience with programming and using CNC milling machines. Salary: $55,000-$60,000 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

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 position is for a graduate student level researcher or recent PhD graduate experienced in and interested in applied data science to work jointly with mathematicians and experimentalists at NIST to study forensic chemometrics and uncertainty quantification in identification and classification in mass spectrometry. A goal of this work is to develop improved classification and identification algorithms in analytical chemistry and incorporate uncertainty quantification into models to provide useful information. The position will be highly interdisciplinary requiring regular communication between mathematicians working on modelling these devices and with experimentalists taking measurements and producing data. The work will entail: Key responsibilities will include but are not limited to: - Implementing optimized calculations to study AI classification algorithms. - Assessing uncertainty in classification of experimental data. - Computationally testing mathematical models relating uncertainty quantification. - Significant software development (most likely python) - Disseminating results through posters/seminars at meetings and seminars - Ensuring that all results, findings, data, software...etc. have been correctly archived and transmitted through appropriate channels - Either completed master's degree or PhD in data science or related field. - Minimum of 1 year of experience conducting data science research - Significant course work in mathematics, statistics and/or computer science - Knowledge of or interest in acquiring knowledge of chemistry and chemometrics methods - Familiarity with larger computational and AI/ML software packages - Ability to program in a modern computational language (e.g. python) Salary: $45,000-$55,000 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 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

PDR-data visualization - 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: Dynamic data visualization for tabular data The work will entail: The researcher is responsible in developing a tool to visualize tabular data for datasets published in the NIST public data repository (PDR). Researcher will explore frictionless data standard. Implement this standard for tabular data in PDR. Enhance current metadata standard (NERDm) to support the tabular data as needed. This can be applied to new datasets getting generated and published under specific Critical Emerging Technologies (CETs) program. This dynamic visualization of data will help researcher explore NIST data products in real time, which will enhance user experience of current PDR. Key responsibilities will include but are not limited to: + Learn and understand PDR system + Understand domain specific data and metadata standards + Use and explore AI techniques to support data visualization § Enhance the existing PDR system with these additions § Regular code updates, deliver code repo along with documentation § Attend regular meetings with NIST § A Bachelor's degree in Computer Science, Engineering, Manufacturing, or a related field. § 2-3 years of relevant experience. § Familiarity with DevOps and CICD pipelines. § Familiarity with multiple programming and scripting languages. § Ability to develop prototypes of tools. § Strong oral and written communication skills. Salary: $20.5-$24.5 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

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: Optimizing NIST AI enabled data discovery and accessibility The work will entail: The researcher will participate in developing AI enabled tools which can enhance the user experience to search domain specific data. After initial understating current Public data repository (PDR) system, APIs, metadata and data, researcher will determine the appropriate AI technology to be applied. Research will work with NIST staff to create AI embeddings which will enhance the search experiences by improving semantic and similarity searches. It can also be used to improve natural language processing and recommendations in our current system. Key responsibilities will include but are not limited to: + Learn and understand PDR system functionality + Determine various AI techniques which we can use to improve search experience + Perform systematic analysis of AI embeddings, MCP and RAGs application § Incorporate optimized methods of new AI techniques in PDR system. § Demonstrate search optimization and effectiveness of AI integration. § Regular code updates, deliver code repo along with documentation. § Attend regular meetings with NIST § A Master's degree in Computer Science, Engineering, Manufacturing, or a related field. § 2-3 years of relevant experience. § Familiarity with DevOps and CICD pipelines. § Ability to work with real-time event data at scale. § Familiarity with multiple scripting languages. § Ability to develop prototypes of tools. § Strong oral and written communication skills. Salary: $49,500-$50,500 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