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Postdoctoral Scholar jobs at The Johns Hopkins University Applied Physics Laboratory

- 76 jobs

  • Quantum Error Correction Scientist

    Johns Hopkins Applied Physics Laboratory (APL 4.6company rating

    Postdoctoral scholar job at The Johns Hopkins University Applied Physics Laboratory

    Are you a researcher with expertise in quantum error correction and other approaches for achieving error-robustness in quantum computing? Are you looking to take part in impactful research in quantum information science? Do you want to work with a vibrant team of experimental and theoretical physicists? If so, we're looking for someone like you to join our team at APL. We are seeking a creative quantum scientist to help us grow new projects and mature existing ones in the field of quantum error correction. As a member of our team, you'll contribute to the development and evaluation of quantum error correcting codes (QECCs), working closely with theorists and experimentalists to bridge knowledge gaps and address practical limitations of quantum error correction on current and future hardware platforms. 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 Error Correction Scientist at APL you will... Investigate, improve, and design QECCs using physically relevant noise models and other hardware characteristics. Perform modeling and trade-space studies of QECCs. Identify avenues for optimization and scalability of QECCs for specific quantum technology platforms. Investigate the propagation of low-level physical/device properties to errors in high-level logical operations and vice versa. Work with our team of experimentalists to identify and measure relevant performance parameters of physical qubits and QECC primitives that can be extrapolated to estimate QECC performance. Investigate the influence/impact of QEC performance on quantum algorithms. Qualifications You will meet our minimum qualifications if you… Have a PhD in Physics, Mathematics, Computer Science, or closely related field Have 2+ years of post-doctoral (or equivalent) experience in quantum information science. Have experience with traditional QECCs, e.g., repetition code and surface codes. Have experience simulating and/or estimating resources costs for quantum error correcting codes. Have experience with programming and software development. Have a proved record of research accomplishments and publications in the field of quantum information science. Are willing to occasionally travel to sponsor sites, conferences, workshops. Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain TS/SCI+poly 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 will go above and beyond our minimum requirements if you… Have deep knowledge of different QEC schemes and trade-offs. Have experience with decoders and logical error simulations. Have experience with physical-level and/or device noise modeling. Have experience with quantum characterization, verification, and validation protocols such as randomized benchmarking. Have extensive experience with existing QEC simulator tools and/or resource estimation tools. Have experience with additional error protection schemes, such as dynamical decoupling and/or quantum error mitigation. Have experience with high-performance computing. Have experience working with experimentalists. Have a proven record of impactful research accomplishments. Have an active TS/SCI w/ Polygraph 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 $102,500 Annually Maximum Rate $290,000 Annually
    $65k-89k yearly est. 2d ago

  • 2026 PhD Graduate - System Modeling, Evaluation, and Planning

    Johns Hopkins Applied Physics Laboratory 4.6company rating

    Postdoctoral scholar job at The Johns Hopkins University Applied Physics Laboratory

    Are you interested in applying your STEM background to strategic deterrence and defense? Are you interested in defining methodologies that will be used for mission planning and test and evaluation of current and future weapon systems? Do you like contributing to complex efforts that require team-based approaches? If you have a PhD in math, physics, engineering, or computer science, we're looking for someone like you to join our team at APL. The System Modeling, Evaluation, and Planning Group is seeking Weapon System Analysts and Software Engineers to assess the planning and evaluation the nation's primary strategic deterrents. You will be joining a hardworking team of engineers, physicists, and mathematicians who are passionate about their role as an independent evaluator for the nation's strategic systems. We strive to foster an environment of innovation and learning to develop the critical technologies and experts of the future. As an analyst in the System Modeling & Estimation group you may work on one or more of the following... * Learn about the principals of inertial navigation systems, including accelerometers and gyroscopes, and leverage data collected during flight tests and ground tests to estimate the underlying, physics-based errors in these systems. * Learn about the dynamics of missile systems, reentry systems, and their associated fuzing mechanisms, and leverage data collected during flight tests and ground tests to estimate the underlying, physics-based errors in these systems. * Evaluate system-level accuracy of current strategic weapon systems and support the design and engineering of future systems to meet mission needs * Apply artificial intelligence, machine learning, and data fusion methodologies to complex, real-world problems and build robust computational frameworks to support advanced data-centric analyses * Advance the state of the art in mission planning by developing software and implementing vehicle dynamics models for new and prototype weapon systems * Develop operational concepts for new weapon systems that leverage advances in estimation and optimization * Function as part of a multi-disciplinary team to analyze the nuclear survivability of strategic weapon systems and structures Qualifications You meet our minimum qualifications for the job if you... * Possess a PhD in applied math, applied statistics, physics, engineering, or a closely related field * Are skilled in scientific programming using a high-level language, such as C++, MATLAB, or Python * Possess outstanding technical written and oral communication skills * Are willing and able to occasionally travel to meetings and sponsor sites * 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 exceed our minimum requirements with experience in any of the following... * Statistical analysis, parameter estimation and inverse problems, Kalman filtering, or maximum likelihood estimation using Fisher information * Optimal control, numerical optimization, and trajectory design * Prior experience with tactical or strategic missile systems * Prior experience with inertial navigation systems * Have expertise in High Energy Particle Physics, Thermal Mechanical Engineering, Chemical Physics, Nuclear Engineering, Nuclear Weapon Effects, or Plasma Physics * Hold an active Secret or higher level 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 $102,500 Annually Maximum Rate $227,500 Annually
    $46k-61k yearly est. Auto-Apply 60d+ ago

  • Biophotonics Systems Scientist

    Johns Hopkins Applied Physics Laboratory (APL 4.6company rating

    Postdoctoral scholar job at The Johns Hopkins University Applied Physics Laboratory

    Are you searching for an opportunity to apply your engineering skills in a creative and collaborative laboratory environment? Would you love to engage in meaningful, hands-on work in the exciting field of optics with an employer that prioritizes impact, innovation, and personal development? If so, we're looking for someone like you to join our team at APL. We are seeking a creative Biophotonics Systems Scientist to join the Imaging Systems Group. As a member of our team, you'll contribute to critical system development and experimental efforts. You will be joining a multi-disciplinary team committed to crafting an environment of innovation. As a Biophotonics Systems Scientist, you will: Contribute to technical efforts in the development of biomedical and remote sensing systems from concept through the full life-cycle of development, test & evaluation to deployment. Assure execution of tasks, and quality and timeliness of technical products through the application of best engineering practices. Develop advanced algorithms and hardware for biomedical and remote sensing applications. Assist in the brainstorming and development of new initiatives/concepts in biophotonics, optical imaging, and related technologies through research and development efforts. Document technical contributions in internal memoranda/reports and conference/journal papers, as appropriate. Present findings and recommendations at appropriate internal and external forums. Qualifications You meet our minimum qualifications for the job if you... Possess a Master's in optical engineering, optical science, electrical engineering, imaging science, or other degree relevant to the work as described above. Have at least 4 years of demonstrated proficiency with optical or electronic hardware in a professional or academic environment. Knowledge and experience with basic circuit design and biophotonic systems development is a plus. Demonstrate a proven ability to work both independently and as part of a multidisciplinary team and possess strong interpersonal, speaking, and technical writing skills. Are able to obtain an Secret level clearance by your start date, and can ultimately obtain a TS/SCI clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... Possess a PhD in a relevant field Have 6+ years of relevant professional experience. Knowledge and experience with photonic integrated circuit design and/or test is a plus. Hold 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. 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
    $65k-89k yearly est. 3d ago

  • Postdoctoral Researcher - #Faculty

    Johns Hopkins University 4.4company rating

    Baltimore, MD 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 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 ********************************************************************************************
    $62.2k-75.6k yearly 9d ago

  • Postdoctoral Researcher - #Faculty

    Johns Hopkins University 4.4company rating

    Baltimore, MD 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 innovating clean hydrogen production, waste-heat conversion, nuclear power, and energy storage. A. Doctorate in materials science, physics, chemistry, computer science or related fields. B. Ability to move to and work at Johns Hopkins University, USA. C. Proven track-record of first-author publications and presentations. A minimum of three peerreviewed, first-author publications must be accessible by the S4E team. D. Proven experience with VASP, Quantum ESPRESSO, LAMMPS, or other ab-initio codes. E. Strong programming skills in C++ and Python and proficiency with Unix systems. F. Ability to lead research projects and collaborate with experimentalists. G. Fundamental understanding of thermodynamics of materials, solid-state physics, inorganic chemistry, and metallurgy at the level of theory/implementation. H. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning/artificial intelligence, database/API development, aflow.org repositories. I. Citizens of China, Russia, North Korea, and Iran are not permitted to participate. Graduate students near the completion of their Ph.D. are welcome to apply. Salary: $62,132 - $69,890 Submit a single PDF file via Interfolio named "Lastname_Firstname_S4E_202508.pdf" containing a cover letter, CV, and contact information for 3 references. The cover letter should address each point of the qualifications list explicitly (i.e., A, B, C, ...). Provide ample examples and details where possible. Applications without explicit responses will not be reviewed. OPTIONAL: DOIs for 3 recent and relevant publications can be included at the end of the packet. Questions can be sent to the S4E team (entropy4energy at jhu.edu); subject line must contain "S4E Post-Doc". Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************
    $62.1k-69.9k yearly 60d+ ago

  • Assistant Research Scientist (PREP0003676) - #Faculty

    Johns Hopkins University 4.4company rating

    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 Description The focus of this project is to conduct a pilot study and develop a demonstration of reproducible AI evaluations. The student will explore the different ways AI evaluations are conducted and the challenges of reproducibility in these contexts. The project aims to produce a study report and a working demonstration of reproducible AI evaluations, supporting broader work at NIST in the measurement of AI. Key Responsibilities ? Conduct literature survey on the state-of-the-art of reproducible evaluations of software systems ? Gain familiarity with existing AI evaluation frameworks ? Contribute to a plan detailing a demonstration of reproducible AI evaluations ? Design, implement, test, and document software and systems used for demonstration ? Document overall demonstration, including current limitations and challenges Deliverables ? Survey briefly describing key research on software experiment reproducibility ? Summary report of existing AI evaluation frameworks ? Working demonstration of reproducible AI evaluations ? Report describing the demonstration and discussing the challenges in AI evaluation reproducibility. ? Background in Computer Science, Software Engineering, Systems Engineering, Data Science, or related field. ? Education level: graduate student or higher. ? Strong interest in software development, AI measurement, reproducibility ? Experience with software development in Python, version control systems, AI models, and the shell, as well as scientific reading and technical writing. ? Experience conducting AI evaluations and designing reproducible software experiments preferred. Salary: $60,000-$120,000 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 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 ********************************************************************************************
    $60k-120k yearly 60d+ ago

  • Assistant Research Scientist (PREP0003711) - #Faculty

    Johns Hopkins University 4.4company rating

    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: Technical methods for content provenance tracking The work will entail: Leading NIST efforts to assess, advance, and potentially standardize methods for tracking content provenance (e.g., watermarking and metadata recording). Key responsibilities will include but are not limited to: § Surveying existing content provenance tracking methods. § Designing or contributing to methods and projects that assess the extent to which provenance tracking methods meet various potential objectives. § Identifying technical or usability flaws in existing methods and proposing solutions. § Contributing to existing standardization projects on content provenance tracking and/or identifying opportunities for new projects. § Familiarity with the workings of modern generative AI systems. § Detailed knowledge of one or more technical methods for adding watermarks to or associating metadata with content to record the provenance of the content (e.g., SynthID, C2PA, or similar) . § Ability to quickly identify and review relevant computer science research papers and extract relevant conclusions. § Strong written communication skills. Salary: $60,000-$120,000 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 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 ********************************************************************************************
    $60k-120k yearly 60d+ ago

  • Assistant Research Scientist (PREP0003516) - #Faculty

    Johns Hopkins University 4.4company rating

    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: Human-Centered Cybersecurity Research and Community Standards Development The work will entail: In direct support of NIST's mission to advance measurement science and standards, the PREP student will work on Human-Centered Cybersecurity (HCC) projects. Human-centered cybersecurity is an approach that puts people at the forefront when designing and implementing cybersecurity systems, products, and processes by considering human needs, motivations, behaviors, and abilities. Under the guidance of a NIST sponsor, the student will contribute to a project to develop a standard description of human-centered-cybersecurity. In addition, the student will help develop guidance, mapped to the NIST Cybersecurity Framework 2.0, on how to apply HCC concepts within organizations. The work will include data collection and analysis for a research study aimed at understanding current perceptions of human-centered cybersecurity among various groups of cybersecurity stakeholders. The student will also assist NIST staff with mapping HCC concepts to the NIST Cybersecurity Framework by searching for and summarizing applicable human factors frameworks, organizing and synthesizing public comments, and writing guidance. This is an excellent opportunity to contribute to community standards for human-centered cybersecurity that may be used around the world. Key responsibilities will include but are not limited to: - Conducting qualitative and quantitative survey or interview data collection and analysis - Performing searches and syntheses of research literature and industry reports related to the human element of cybersecurity - Assisting in the organization and agenda development of public workshops - Organizing, synthesizing, and helping to adjudicate public comments/feedback - Writing/preparing reports, research papers, and presentations - Presenting results at internal and external meetings § In-progress graduate degree (Master's or PhD) in social science, human-computer interaction, human factors, computer science, cybersecurity or other field related to human-centered cybersecurity § Competency in quantitative or qualitative research methods and data analysis § Experience with and working knowledge of cybersecurity is desirable but not required § Ability to work both in teams and independently § Strong organizational skills § Strong oral and written communication skills Salary: $25-$35 an 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. 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. Job Type: Part Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************
    $25-35 hourly 60d+ ago

  • Assistant Research Scientist (PREP0003540)

    Johns Hopkins University 4.4company rating

    Gaithersburg, MD jobs

    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.
    $47k-67k yearly est. 60d+ ago

  • Assistant Research Scientist (PREP0003675)

    Johns Hopkins University 4.4company rating

    Gaithersburg, MD jobs

    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
    $47k-67k yearly est. 60d+ ago

  • Assistant Research Scientist (PREP0003516)

    Johns Hopkins University 4.4company rating

    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: Human-Centered Cybersecurity Research and Community Standards Development The work will entail: In direct support of NIST's mission to advance measurement science and standards, the PREP student will work on Human-Centered Cybersecurity (HCC) projects. Human-centered cybersecurity is an approach that puts people at the forefront when designing and implementing cybersecurity systems, products, and processes by considering human needs, motivations, behaviors, and abilities. Under the guidance of a NIST sponsor, the student will contribute to a project to develop a standard description of human-centered-cybersecurity. In addition, the student will help develop guidance, mapped to the NIST Cybersecurity Framework 2.0, on how to apply HCC concepts within organizations. The work will include data collection and analysis for a research study aimed at understanding current perceptions of human-centered cybersecurity among various groups of cybersecurity stakeholders. The student will also assist NIST staff with mapping HCC concepts to the NIST Cybersecurity Framework by searching for and summarizing applicable human factors frameworks, organizing and synthesizing public comments, and writing guidance. This is an excellent opportunity to contribute to community standards for human-centered cybersecurity that may be used around the world. Key responsibilities will include but are not limited to: · Conducting qualitative and quantitative survey or interview data collection and analysis · Performing searches and syntheses of research literature and industry reports related to the human element of cybersecurity · Assisting in the organization and agenda development of public workshops · Organizing, synthesizing, and helping to adjudicate public comments/feedback · Writing/preparing reports, research papers, and presentations · Presenting results at internal and external meetings § In-progress graduate degree (Master's or PhD) in social science, human-computer interaction, human factors, computer science, cybersecurity or other field related to human-centered cybersecurity § Competency in quantitative or qualitative research methods and data analysis § Experience with and working knowledge of cybersecurity is desirable but not required § Ability to work both in teams and independently § Strong organizational skills § Strong oral and written communication skills
    $47k-67k yearly est. 60d+ ago

  • Assistant Research Scientist (PREP0003672)

    Johns Hopkins University 4.4company rating

    Gaithersburg, MD jobs

    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.
    $47k-67k yearly est. 60d+ ago

  • Assistant Research Scientist (PREP0003668)

    Johns Hopkins University 4.4company rating

    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: Developing Interactive Visualization Tools for AI Evaluation Data The work will entail: Key Responsibilities ● Familiarize with NIST's work on AI risk and impact assessment and measuring contextual robustness, including needs for interactive data visualization in this context ● Create mockups of interactive data visualization tool(s) ● Research different toolkits available for interactive data visualization ● Propose system architecture(s) for the tool(s) ● Develop, test, and document interactive data visualization tool(s) Deliverables ● Visual mockups of the tool(s) ● Documentation of the proposed system architecture(s) ● Code implementing the tool(s) ● Thorough test suite(s) for the code ● Comprehensive documentation ● Background in Computer Science, Software Engineering, Data Science, or related field. ● Education level: undergraduate or graduate student. ● Strong interest in data visualization, software development, AI measurement ● Experience with software development in Python, version control systems, databases, and the shell ● Experience with building interactive data visualization tools and AI evaluation preferred.
    $47k-67k yearly est. 59d ago

  • Assistant Research Scientist (PREP0003678)

    Johns Hopkins University 4.4company rating

    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 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.
    $47k-67k yearly est. 56d ago

  • Assistant Research Scientist (PREP0003674)

    Johns Hopkins University 4.4company rating

    Gaithersburg, MD jobs

    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
    $47k-67k yearly est. 59d ago

  • Assistant Research Scientist (PREP0003638)

    Johns Hopkins University 4.4company rating

    Gaithersburg, MD jobs

    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.
    $47k-67k yearly est. 60d+ ago

  • Assistant Research Scientist (PREP0003680)

    Johns Hopkins University 4.4company rating

    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. Interactive 3D Visualization to enable Visual Analytics for Measurement Science There are variety of tools and frameworks available for visual analytics, but very few are capable of providing interactive 3D visualization. Trame does this by leveraging VTK and/or ParaView (as well as integrating other tools such as Vega). Trame is the culmination of decades of work: VTK/ParaView, ParaViewWeb, and vtk.js are just some of the components that trame builds upon, but does so in such a way as to hide the complexity of these underlying systems. Trame is a Python integration framework to easily build web applications with minimal knowledge of web development or technology. In this project, we will explore measurement science data using information visualization and scientific visualization techniques in an immersive environment. Data correlation between 2D and 3D data in an immersive environment will also be explored using Trame and ParaView. The resulting immersive visualization platform can be used to reconstitute the measurement science data (generated and/or collected) to produce a digital twin of the real world and provide the means to interact with the digital twin, mirroring real world interactions. Various data format support and data analysis techniques will also be added to enable real-time data exploration and analysis of the data in an immersive environment. Users of the digital twin will manipulate their data on the laptop version of the platform to setup an immersive scientific visualization session for either the CAVETM or Head Mounted Display system. The work will entail: Key responsibilities will include but are not limited to: § Ability to explore measurement science data using information visualization and scientific visualization techniques in an immersive environment. § Utilizing visual and data analytics tools and techniques. § Analyzing and manipulating data on the laptop version of a platform to setup an immersive scientific visualization session for either the CAVETM or Head Mounted Display system. § Experience with software engineering and data science. § Experience with Python 3, and Machine Learning. § Experience with 3D Immersive Technology as well as VR application development. § Must be able to work independently and with other researchers while under the guidance of a mentor. § Experience with ParaView and Trame is a plus but not required.
    $47k-67k yearly est. 60d+ ago

  • Assistant Research Scientist (PREP0003353)

    Johns Hopkins University 4.4company rating

    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: Community Resilience Systems Modeling The work will entail: The PREP Research Associate will conduct collaborative research with researchers in the Community Resilience Group in the Engineering Laboratory at the National Institute of Standards and Technology (NIST). Under the Community Resilience Program, it is proposed that the PREP participant conduct research on the project entitled Development of a First-Generation Community-Resilience Systems Model. Under this project, the PREP participant will contribute to the (NIST) Alternatives for Resilient Communities (NIST ARC) model that is in ongoing development. NIST ARC facilitates exploration of alternative solutions for increasing a community's resilience to natural hazards such as floods, tornados, and earthquakes. Within NIST ARC, optimization-based models provide the ability to efficiently search for alternatives that can meet community-specified objectives and constraints to support the decision-making process. Identifying alternatives that meet a community's objectives and constraints is challenging given the large scale of the relevant physical, social and economic systems (including, for example, buildings, critical infrastructure, businesses, schools, and hospitals), the interdependencies between these systems, stochastic aspects (e.g., related to hazard events, component failure), interactions of the mitigation/preparedness decisions and event-related decisions, and the large set of decision-makers and stakeholders in the decision-making process. The associate will apply the optimization modeling framework to new systems or hazards, including coastal hazards, not currently incorporated into NIST ARC, and add to the functionality of the tool. The associate will develop case studies, which will involve developing new data, identifying and applying suitable methods. The new work will be integrated into the model through collaboration with the other developers. In addition, the associate will have the opportunity to collaborate with a community subject to coastal hazards to improve resilience in practice. Further, the PREP participant will disseminate their research through conferences and submission of peer-reviewed journal articles. Key responsibilities will include but are not limited to: Developing optimization models to solve problems of relevance to community resilience § Presenting results at internal meetings, at conferences, and occasional meetings with external stakeholders. § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. § Publishing peer-reviewed journal articles on the collaborative research § A Bachelor's degree in Computer Science, Engineering, or a related field. § Coursework in civil engineering systems analysis/optimization, or computational algorithms § Familiarity with multiple computer languages, including Python. § Ability to develop prototypes of tools needed to analyze data. § Strong oral and written communication skills.
    $47k-67k yearly est. 60d+ ago

  • Assistant Research Scientist (PREP0003672) - #Faculty

    Johns Hopkins University 4.4company rating

    Gaithersburg, MD jobs

    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 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 ********************************************************************************************
    $20-30 hourly 60d+ ago

  • Assistant Research Scientist (PREP0003671) - #Faculty

    Johns Hopkins University 4.4company rating

    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: Researching Scenarios for AI Evaluations and Metrics The work will entail: The National Institute of Standards and Technology (NIST) is building a library of sector-specific scenarios to facilitate AI evaluations and measurements. These scenarios are grounded in real-world AI use cases and developed with input from the broader AI community and sector stakeholders. Well-defined key elements of scenarios will ensure AI evaluations are both realistic and effective. The PREP candidate will be responsible for assisting in refining and documenting the AI scenario collection and generation process. The candidate will actively participate in NIST measurement science and be involved in human-centered research and evaluations of AI technologies . Key responsibilities will include but are not limited to: + Developing methodology to assess various dimensions of the "goodness" of scenarios for AI evaluations, such as, but not limited to: + Measurability of risks and benefits in AI scenarios , both at the individual and organizational levels. + Applicability of scenarios to various evaluation types, such as evaluations to elicit negative impacts (e.g., risks), evaluations to elicit positive impacts (e.g., benefits), and evaluations of human-AI interaction. § Operationalizing higher-level key performance indicators (KPIs) and metrics of AI scenarios into meaningful measures of risks and benefits. § Refining and documenting the AI scenario collection and generation process for replicability and efficient scenario library development. § Presenting results at internal meetings and occasional meetings with external stakeholders. § Ensuring that results, protocols, and documentation have been archived or otherwise transmitted to the larger organization. § Background in any of the following or comparable fields: Computer Science, Human-Computer Interaction (HCI), Industrial/Organizational (I/O) Psychology, Cognitive Psychology, Human Factors/Engineering Psychology, Psychometrics, Economics. § Education level: graduate student or higher (postdoc preferred). § Strong background in research methodology. § Competency in quantitative and/or qualitative research and data analysis. § Knowledge/interest in human-computer interaction and human-AI interaction. § Knowledge/interest in machine learning and AI test and evaluation. § Ability to work both in teams and independently. § Strong oral and written communication skills. Number of Positions and hours/week § 1 position, if postdoctoral (preferred), full-time at 40 hours/week § The details of the work arrangement are negotiable, but the position is envisioned to be telework, with the possibility of occasional in-person meetings on the NIST Gaithersburg campus. Salary: $40,000-$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. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************
    $40k-60k yearly 60d+ ago

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