Doctoral Fellow jobs at Johns Hopkins University

PREP Research Associate CHIPS Funded Project. This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Postdoctoral researcher The work will entail: Work with an interdisciplinary team to develop the experimental tools necessary for the characterization of scintillation materials in the extreme ultraviolet wavelength regime. Once tools are online, candidate will calibrate the tools and conduct measurements of scintillator materials for a final report. Key responsibilities will include but are not limited to: - Conduct literature review of candidate EUV scintillator materials and develop report based on review. - Work with a multidisciplinary team to construct, calibrate, and operate a scintillator characterization tool(s). - Interact with NIST staff to develop mechanical design of components for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans for integration of characterization systems into existing SURF III beamlines. - Prepares written reports and documentation for sample measurement, operation of instrumentation and safety. - Provide input for CHIPS quarterly progress reports. § Ph. D. in physics, Engineering, or a related field § Experience with the following: o Optical metrology instrument and detector design, o X-ray and/or EUV instruments, o Visible or UV microscopy experience, o Use and development Data acquisition hardware and software (LabVIEW and Python), o Statistical data analysis. § Strong oral and written communication skills. Salary: $85,000-$90,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate the administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

The Johns Hopkins University's Department of Applied Mathematics and Statistics invites applicants for one or more positions as Postdoctoral Fellow. Candidates must have completed their Ph.D. prior to their appointment start date, and no later than 8/31/2026 and show definite promise in research and teaching. The teaching load will be at most one course each semester, and often as little as one course per year, depending on funding and needs of the department, so that the appointee will have ample time for research. The appointment is for two years, with possibility of renewal, depending on funding availability. The successful candidate will be expected to collaborate with Bloomberg Distinguished Professor Domenico Giannone. Professor Giannone's research lies at the intersection of economics, applied statistics, and data science, with a focus on advancing empirical and computational methods for understanding complex economic and financial systems. Research Areas: Applied statistics and econometrics with emphasis on high-dimensional data analysis, forecasting and predictive modeling, machine learning methods, and applications involving text and other non-traditional data sources. The fellow will contribute to and extend research in these areas, engaging in projects that develop and apply cutting-edge quantitative methods to address pressing questions in economics and related fields. This role provides an opportunity to collaborate with Professor Giannone on innovative interdisciplinary work within the Bloomberg Distinguished Professorships (BDP) program, fostering connections across economics, statistics, and data science. The successful candidate will be encouraged to pursue independent but complementary research, co-author publications, and participate in seminars and collaborative initiatives that promote methodological innovation and cross-disciplinary engagement. Applicants are asked to submit (a) an AMS standard coversheet; (b) a curriculum vitae; (c) a description of research interests and have at least three letters of recommendation submitted. Applicants should apply using: *********************************** Additionally, the candidates should contact Professor Domenico Giannone via email at *************************, with a message containing "Postdoctoral Fellow" in the subject line, discussing any potential overlap of research interests with Professor Giannone. Applications received by 12/31/2025 will be guaranteed full consideration; early application is advisable. Salary: WSE Postdoctoral Fellow AY25 salaries range from $62,132 - $100,000 Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

The Department of Economics at Johns Hopkins University invites applications for two postdoctoral fellowships in econometrics and applied macroeconomics. The fellows will have the opportunity to collaborate closely with Bloomberg Distinguished Professor of Economics & Statistics, Prof. Domenico Giannone, whose research spans econometrics, applied macroeconomics, and international economics. The Department of Economics at JHU is internationally recognized for its research excellence and collaborative environment. Postdoctoral fellows will have access to a dynamic community of scholars, seminars, and workshops, fostering interdisciplinary exchange and opportunities for impactful research. We are particularly interested in candidates working at the intersection of econometrics, macroeconometrics, and international economics. Areas of emphasis include: + Nowcasting and forecasting using large and diverse data sources + Macroeconometric models for cross-country and global monitoring, including linkages, spillovers, and macro-financial risks + Applications of large language models and text-as-data methods to extract signals from news, policy communications, and digital sources + Policy-oriented tools for monitoring and risk assessment, with emphasis on low-income countries and emerging markets The expected salary range is $85,000 - $90,000. Terms: + Location: Department of Economics, Johns Hopkins University, Baltimore, MD + Duration: Initial appointment of one year, renewable subject to performance and funding + Start Date: Flexible, preferably during 2025-2026 + Salary: Competitive, with research support and benefits in line with Johns Hopkins standards + Ph.D. in Economics, Statistics, or related field (completed or expected by start date) + Demonstrated research potential in econometrics, macroeconometrics, or applied macroeconomics + Strong interest in developing models and methods relevant for policy monitoring, forecasting, and risk assessment in international settings Salary: $85,000 - $90,000 a year Interested candidates should submit their application and all supporting materials via Interfolio. Applications should include a cover letter, CV, and job market paper or representative research sample. Applicants should arrange for three letters of recommendation to be sent separately via Interfolio. Applications will be considered until the position is filled. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Biomedical engineer The work will entail: We are seeking to hire a biomedical engineer to be stationed at the NIST Gaithersburg Campus located in Gaithersburg, Maryland, close to Washington DC. The person hired for this position will help to add technical quality to methods that use complex cell models to investigate absorption of compounds and particles across the human digestive system . The person will also develop high-quality test methods through evaluation of potential control measurements and sources of uncertainty. Key responsibilities will include but are not limited to: § Biomanufacturing of cellular models that resemble physiological system such as the human digestive tract § Collaborate with a multidisciplinary team of researchers to evaluate relevant control measurements for methods that utilize these cellular models § Perform transepithelial electrical resistance measurements § Evaluation of control data in collaboration with NIST statisticians § Conduct experimental investigations to validate the model's performance with chemicals and other treatements § Publish research findings in peer-reviewed journals and present at conferences and workshops. § Advanced degree (MS or PhD) in physics, engineering, biomedical engineering, biology § Experience with biomanufacturing of complex cell models including multiple cell types § Demonstrated ability to use advanced instrumentation and associated software for analyzing and imaging these cell models § Experience with performing common cell methods such as viability assays and using plate readers § Demonstrated ability to write technical protocols, present results and generate data for reports. § Demonstrated ability for critical thinking, innovation and problem solving. § Ability to work independently and with a multi-disciplinary research team § Experience using spreadsheets and statistical software packages for data analysis. Salary: $88,884.00 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PREP Research Associate This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Development of Acoustic-Based Standards for Gas Flow Metrology The work will entail: The NIST Fluid Metrology Group (FMG) is seeking a motivated individual with a background in acoustics, or physics, or engineering to join our team. The FMG has a long history of providing high fidelity, low uncertainty measurements that are traceable to the SI units of flow. Measurements made by the FMG support commodity transfer, manufacturing, energy, and many other US industries by performing calibration of transfer standards. The group is currently working to develop new flow standards and measurement capabilities based on acoustics. As a member of our multi-disciplinary team, you will collaborate closely with experts in instrumentation, metrology, acoustics, physics, and engineering to develop and enhance flow measurement techniques and calibration systems. The team is developing a new flow metering technique based on long-wavelength acoustic time-of-flight as well as a density measurement technique based on characteristics of resonant spectra of acoustic resonators, and we seek a highly motivated individual to contribute to this work. Key responsibilities will include but are not limited to: Contribute to the design, construction, and testing of a flowmeter based on long-wavelength acoustics. Collaborate in the development of theoretical models of acoustic dissipation in a resonant cavity. Implement advanced signal analysis techniques on acoustic signals in order to reduce uncertainty and improve speed while determining fluid properties. Conduct research to implement novel approaches for measuring fluid flow and determining gas density based on acoustics and advanced signal processing. Present research findings, technological developments, and calibration results at internal meetings, external stakeholder meetings, and scientific conferences. A Ph.D. in engineering or physics or related field. A background in conducting experimental research, particularly related to acoustics, fluid flow, signal analysis, or metrology, is important. Ability to control, operate and automate scientific test equipment and instrumentation. Familiarity with design and simulation tools like SolidWorks, Autodesk Inventor, MuMax, OOMMFi COMSOL, or similar. Familiarity with the programming languages Python, MATLAB, or LabVIEW. Strong oral and written communication skills. Salary: $82,000-$89,000 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 the administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. 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 ********************************************************************************************

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: Engineering for a Circular Economy The work will entail: NIST's Engineering Lab (EL) Systems Integration Division, Life Cycle Engineering Group is seeking a researcher in product design for microelectronic circularity. We are expanding our research to develop ways of maximizing the value of U.S. microelectronics and semiconductors based on principles of circular economy. Microelectronics are valued for their processing capabilities and the materials that they contain. Our team, together with our external partners, is developing new practices for design that will better enable recovery. The design research aspects of the work explore new ways to integrate circularity assessment into the design of products containing microelectronics. We are developing new metrics and measurement methods to allow designers to assess and plan for the recoverability of these complex products. Additionally, this work focuses on the identification of information and data needs to provide decisionsupport to consumers and enable end-of-life stakeholders (recyclers, municipalities, waste managers, infrastructure providers) that improve the volume of valuable microelectronics to be recovered. The methods developed in this work will be used to inform future product design and may be a basis for corporate or open standards. We will drive the state of the art forward with advanced techniques in life cycle assessment, simulation, and AI- and data-driven design. Results will include a suite of decision support tools (metrics, models, and published research) and new standards to improve recovery outcomes, thereby strengthening supply chain resiliency via new material sources, and enabling stakeholders to respond dynamically to material availability challenges in the future. We seek experienced research candidates with a background in products design, micro and nano engineering, and/or supply-chain interoperability, and a Ph.D. (preferred), M.S. and/or related experience with a record of research in peer-reviewed publications. US citizenship needed. Key responsibilities will include but are not limited to: ? Conduct a landscape survey documenting the state of the art in chip and microelectronic design, including existing efforts for reuse, recycling and refurbishment and current methods to quantify financial and environmental impact ? Partner will stakeholders in the semiconductor ecosystem to develop and test fit-for-purpose recovery metrics ? Outline best design practices for circular and sustainable microelectronic products and support the development of documentary standards to disseminate findings ? Integrate end of life data with computational design to enable better recovery outcomes for microelectronics ? Publish and present findings through internal reports, peer-reviewed conferences, and academic journals Desired skills/technical knowledge include a combination from the following: ? Understanding of micro/nano fabrication processes for chips and first-principle modeling ? Experience with systems thinking and supply chain modeling ? Familiarity with LCA and related forms of assessment used to evaluate environmental performance of products ? Programming, data analysis and visualization with Python and/or MATLAB ? Experience or study of product design and engineering principles for sustainability Salary: $75,000 - $85,000 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 ********************************************************************************************

PREP Research Associate Sensor Science Division Pressure Metrology Project This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, 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: Fixed-Length Optical Cavity (FLOC) for pressure metrology The work will entail: Our multidisciplinary team is developing Fixed-Length Optical Cavity (FLOC) pressure standards to cover a broad range from vacuum (< 1 mPa) to high pressure (> 1000 kPa). We are exploring optical cavities machined from a variety of materials including metals, single crystals, and glasses to cover this broad pressure range. We seek a postdoc to help investigate the performance of new optical pressure standards based on (1) low-expansion Invar metal for an ongoing Air Force funded project and (2) ultra-low expansion (ULE) glass for low pressure (vacuum) metrology. A qualified candidate would have a PhD in chemistry, physics, engineering or related fields and have expertise in one or more of the following areas: pressure metrology, optical physics, laser spectroscopy, optical cavities, digital acquisition and instrument control (Labview, Python, etc.). Key responsibilities will include but are not limited to: + Improve stability of stable optical cavities by implementing vibrational and temperature control + Labview coding for data acquisition and instrument control + Analyze data to determine metrics for stability (Allan variance, statistical analysis) § Present results at internal group meetings and external meetings and conferences § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. § PhD in chemistry, physics, engineering or related fields § 3 years of relevant experience § Demonstrated experience working with lasers and optical cavities § Ability to write code to control, operate, and automate data acquisition § Familiarity scripting languages for instrument control and data analysis § Familiarity with programming languages like Labview, Python, and/or Matlab § Strong oral and written communication skills. Salary: $82,000-$85,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

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 available is for postdoctoral research on photonic integrated circuits (PICs). The postdoctoral researcher will work with NIST staff and other associates to develop optimized photonic test structures that will be incorporated in PIC process flows and enable extraction of key physical parameters associated with PIC performance, including absorption and scattering loss and refractive index dispersion. Test structures will be optimized for used in PICs based on the silicon-in-insulator, silicon nitride, and thin film lithium niobate platforms. Key responsibilities will include but are not limited to: + Perform a literature review to assess existing test structure designs and methodologies for PIC parameter extraction + Set up electromagnetic simulation models of existing test structure geometries to enable simulation and optimization for specific PIC platforms + Investigate methods to optimize test structure designs for more robust determination of photonic parameters + Produce layouts and work with team members on fabrication and measurement of optimized test structure designs § Presenting results at internal meetings, and occasional meetings with external stakeholders such as at photonics conferences or through peer-reviewed journal publications § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. § A PhD in Electrical and Computer Engineering, Applied Physics, or a related field § >3 years experience with Lumerical and Comsol electromagnetic simulation tools § Experience with device design and layout for photonics foundries § >2 years experience with photonic device characterization including linear spectroscopy § Familiarity with multiple scripting languages such as Matlab, C, and Python § Strong oral and written communication skills. Salary: $78,000-$83,000 a year Please upload the following with your application: - CV/Resume - 2 professional references *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

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: Postdoc in Light-Scatter Microscopy of Gene Delivery Nanoparticles The work will entail: The Sensor Science Division at the National Institute of Standards and Technology (NIST) seeks an enthusiastic postdoctoral researcher to advance novel light-scattering interferometric microscopy techniques for comprehensive, single-particle-level analysis of gene therapy nanoparticles. The postdoc will work closely with a collaborative, multidisciplinary team of researchers to design, build, and model new optical microscopes to provide physical measurements (such as mass, size, concentration, composition) of individual gene delivery nanoparticles. These physical parameters are crucial to the development and optimization of gene delivery therapies. For additional details about this research, please visit our program website: ******************************************************************************************************************* Salary starts at $82,764. Interested candidates can reach out to Aaron Goldfain (***********************) for more information. Key responsibilities will include but are not limited to: § Designing, improving, and using novel NIST-built laser-based light scattering microscopes for quantitative nanoparticle characterization. § Building optical models of gene delivery nanoparticles and light-scattering microscopes. § Conducting experimental investigations to validate instrument performance and characterize nanoparticle physical characteristics and heterogeneity. § Collaborating with researchers to develop innovative algorithms for data analysis and interpretation. § Collaborating with researchers to evaluate the impact of particle heterogeneity on gene delivery efficacy. § Publish research findings in peer-reviewed journals and present at conferences and workshops. § A PhD in Physics, Optics, Biophysics, or a related field. § Less than 5 years of relevant post-PhD experience. § Familiarity or experience with optical models of particle light scatter and/or optical instruments. § Familiarity or experience with optical imaging and/or microscopy. § Enthusiasm for learning new theoretical, computational, and experimental techniques. § Programming experience with Python, MATLAB, or similar. Salary: $82,764 a year Please upload the following with your application: - CV/Resume - 2 professional references *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

Postdoctoral Research Fellow Professor Gillian Hadfield is seeking highly-qualified postdoctoral scholars to join her team at the Normativity Lab at Johns Hopkins University in 2026. The Normativity lab examines the foundations of human normativity and leverages insights to inform the development of AI systems that align with human values. The ideal candidate will have a track record in experiments with multiagent systems using reinforcement learning and/or generative agents, interest and ideally experience in training models to interpret and align with norms, and a background in interdisciplinary research such as overlaps between AI and cognitive science, microeconomic theory, cultural evolution theory, or moral/normative/legal reasoning. Applicants with strong credentials and motivation should still apply even if they lack these qualifications. These are full-time positions with the potential for appointments 12-18 months in duration, and the possibility of further extension. Lab members have the option to work in either Baltimore, MD or Washington, D.C. About the Normativity Lab How can we ensure AI systems and agents align with human values and norms? Maintain and enhance the complex cooperative economic, political and social systems humans have built? What will it take to ensure that the AI transformation puts us on the path to improved human well-being and flourishing, and not catastrophe? Existing approaches to alignment, such as RLHF, constitutional AI and social choice methods, focus on eliciting human preferences, aggregating them across multiple, pluralistic values if necessary, and fine-tuning models to satisfy those preferences. In the Normativity Lab we believe these approaches are likely to prove too limited to address the alignment challenge and that the alignment questions will require studying the foundations of human normativity and human normative systems. We bridge computational modeling, specifically multi-agent reinforcement learning and generative agent simulations, and economic, political, and cultural evolutionary theory to explore the dynamics of normative systems and explore how to build AI systems and agents that have the normative infrastructure and normative competence to do as humans have learned to do: create stable rule-based groups that can adapt to change while ensuring group well-being. Specific Duties and Responsibilities: + Project Ownership: Take ownership of research projects, working independently and collaboratively with a diverse team of experts + Model Development : Develop and refine multiagent systems to simulate and analyze normative behaviors in various contexts. + Data Collection and Analysis : Design and implement empirical studies, including data collection, statistical analysis, and interpretation of results. + Publication : Prepare and submit manuscripts for publication in high-impact academic journals and present findings at conferences and workshops. + Collaborate with Team Members : Work closely with lab members and external collaborators to foster a productive research environment and contribute to interdisciplinary projects. + Mentor Students : Provide guidance and mentorship to graduate and undergraduate students involved in related research projects. + Contribute to Lab Activities : Participate in lab meetings, potentially take a leadership role in coordinating lab activities, contribute to grant writing, and engage in outreach activities to promote the lab's research initiatives. Special Knowledge, Skills, and Abilities: + Strong technical understanding of issues in the fields of AI safety and governance. Familiarity with the ethical implications of AI technologies and their alignment with human values and societal norms. + Expertise in large language models, multi-agent reinforcement, or economic modeling and game theory. + Knowledge of theories related to human normativity, including welfare economics, political theory, moral philosophy, cultural evolutionary theory, social norms, or legal systems is a strong asset; an interest in learning about these domains is essential. + Proficiency in designing and implementing computational models to simulate normative behaviors and group dynamics. + Strong capability in both qualitative and quantitative research methods, including statistical analysis and survey design. + Experience conducting interdisciplinary research, including integrating perspectives from economics, law, and social sciences to analyze complex systems. + Knowledge of the academic publishing process. Level of Independent Decision-Making: + Ability to independently lead and deliver on research projects. + Capable of formulating and implementing research methodologies and procedures. + Ability to make independent decisions regarding data quality, analysis, and interpretation. + Capable of independently managing timelines and deliverables. Qualifications + Advanced Degree: A PhD in a relevant field such as computer science, economics, political science or cultural evolution + Programming Skills: Proficiency in programming languages relevant to computational modeling (e.g., Python, R, or similar). + Data Analysis Tools: Experience with statistical software and data visualization tools (e.g., SPSS, Stata, Tableau). + AI Experience: Knowledge of AI frameworks and algorithms, particularly those related to decision-making and ethical AI. + Machine Learning Experience: Knowledge of ML techniques, including reinforcement learning. + Academic Excellence: Strong publication record in peer-reviewed journals relevant to normative systems, AI ethics, or related fields. + Research Experience: Demonstrated experience conducting independent research, including project development and execution. + Teaching and Mentorship: Experience in teaching or mentoring undergraduate or graduate students in a research or academic setting. + Collaboration and Communication: Excellent teamwork skills with the ability to present research findings clearly and effectively to diverse audiences. Applicants with some but not all of these qualifications are encouraged to apply and diversity of background and research interests will be considered. Salary: $63,375 - $80,000 Applicants must submit the following documents as attachments: + CV + Research statement identifying prior research projects, current interests, and sample research questions, aligned with the goals of the Normativity Lab, to be explored during the fellowship + Unofficial university transcript + Writing sample + Letters of reference from and contact information from three (3) people who can speak to the applicant's professional experience and potential as a postdoctoral researcher 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 ********************************************************************************************

We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve as the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI. The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI). We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include--but are not limited to--computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies. Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative. + PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field + Strong methodological and computational skills + Demonstrated interest or experience in health-related applications of statistical or data science methods + Strong written and oral communication skills + Ability to work collaboratively with interdisciplinary teams Salary: $65,000-75,000 per year Interested applicants should submit the following materials: + Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate's work could help advance data science and AI in the Department and University, and the candidate's larger career goals) + Curriculum vitae + Contact information for three references Applications will be reviewed beginning on October 15 and will be reviewed on a rolling basis until the positions are filled. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

Postdoctoral Fellowship at the Stavros Niarchos Foundation (SNF) Agora Institute (************************** at Johns Hopkins University. The Stavros Niarchos Foundation (SNF) Agora Institute at Johns Hopkins University invites applications for a visiting Postdoctoral Fellowship for scholars conducting research on political behavior, public opinion, political identities, and democratic resilience. The Fellow will work under the supervision of Dr. Lilliana Mason and will have opportunities for collaboration with SNF Agora faculty, research staff, students, and other visiting Fellows. The Fellow will contribute to research in the new Democracy and Division Lab, an interdisciplinary research group examining how identity, civic trust, and institutional design interact to strengthen or undermine democracy. The position includes opportunities to lead independent research projects, co-author publications, access original datasets regularly collected by the Lab, and participate in ongoing research initiatives. The Fellow will also help mentor undergraduate and graduate students involved in the Lab's work and participate actively in the intellectual life of the Institute. This fellowship is a one-year appointment, renewable for up to five years, contingent on performance and funding. Applicants must have a PhD in Political Science or a related field completed by the start of the appointment (summer/fall 2026). Competitive candidates will demonstrate: + A strong research record in democracy, political behavior, or political psychology; + Proficiency in quantitative, survey-based research methods, data analysis, and data visualization; + Experience with experimental, qualitative, or mixed-methods approaches; + Ability to contribute to collaborative projects and to mentor students. Applicants should state their anticipated start date and availability in the application letter. Salary: $70,000 Applicants should submit: + Application Letter describing your interest in the fellowship, alignment with SNF Agora and the Democracy and Division Lab, planned research agenda, desired start date, and relevant experience; + Curriculum Vitae ; + Official Graduate Transcript ; + Writing Sample (e.g., article, dissertation chapter, or working paper); + Three Letters of Recommendation . Optional: Publications or additional writing samples may be included. Applications will start being reviewed February 1, 2026. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

The Johns Hopkins Berman Institute of Bioethics and the Wellcome Centre for Ethics and Humanities at the University of Oxford have established the Global Infectious Disease Ethics (GLIDE) collaborative with support from the Wellcome Trust. A central pillar of this partnership is a joint post-doctoral fellowship training opportunity. We are pleased to invite applications to the program from uniquely qualified individuals who are committed to interdisciplinary and transnational collaboration and who have a particular interest in the ethical issues at the intersection of global health and infectious disease. This two-year fellowship will begin September 1, 2026, pending funding approval. If you are experiencing difficulties using Interfolio, please reach out directly to Interfolio support. If you continue to have difficulties, please reach out to **************. Qualifications and Opportunities: Doctoral-level degree in bioethics, philosophy, public health, law, medicine, social science, history or other relevant discipline, with fewer than five years of post-PhD research by the start date. Scholarly interests in ethical issues at the intersection of global health and infectious disease. Primary, in-residence appointment at Johns Hopkins and a residency requirement at the Wellcome Center. The exact nature, duration and timing of the Oxford residency is flexible and case-specific. Fellows will become integrated members of the ongoing post-doctoral training programs at both Institutions and have access to a wide range of activities and opportunities, including: Regular seminars, presentations and discussions with leaders in the field; Individualized research program; Bioethics coursework and mentorship; Professional development training; Teaching opportunities (commensurate with experience and background); Participation in outreach efforts via social media Salary/Benefits: $65,000 per year, plus health and other standard benefits available to all post-doctoral fellows of Johns Hopkins University Travel for the residency requirement and modest living expenses when overseas A modest discretionary fund for travel to relevant conferences Application Instructions The application window is now open. Applications are due by December 1, 2025, and must be uploaded via Interfolio. Cover Letter Personal statement in support of your application CV Copy of Graduate Transcript(s) Writing Sample Two Letters of Reference For more information on the Berman-Oxford GLIDE Post-doctoral Fellowship Program, please contact the Berman Institute's Associate Director for Global Programs (Joseph Ali, JD at ************) or Professor Anne Barnhill at ****************. Please note that PRO-UAW has established a union which represents postdoctoral researchers, including postdoctoral fellows and postdoctoral research fellows at the Johns Hopkins University. The University and PRO-UAW will be engaging in negotiations for a Collective Bargaining Agreement (CBA) that will set forth terms and conditions of employment and which could result in changes to the compensation and benefits described in this ad.

Johns Hopkins Carey Business School invites applications for a postdoctoral fellowship position in the academic area of information systems, with a particular emphasis on digital health. This is a full-time research position The position is a two-year appointment with the possibility of extension. The position offers competitive compensation and benefits. The appointment will begin Winter 2025, or as soon thereafter as a successful candidate is identified. We are seeking candidates who have an interest in studying the social, behavioral and economic interactions underlying the use of digital technologies, analytics, and artificial intelligence in the healthcare sector. Candidates with a strong background in their disciplinary theories are preferred. We welcome applications from candidates motivated by the unique opportunity to participate in building a world-class business school at a premier private university. Qualified candidates for the postdoc position must have the following: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by employment start date. A demonstrated strong commitment to academic research. Core Responsibilities Conduct collaborative research at the intersection of artificial intelligence, digital technology and healthcare delivery, management and policy. Publish research findings in top-tier academic journals and present at leading conferences in IS, management, AI and healthcare conferences. Contribute to grant writing and funding proposals to support ongoing and new research initiatives. Collaborate with faculty, students, and industry partners on interdisciplinary projects that translate AI innovation into healthcare and business impact. Mentor undergraduate, graduate and PhD students who are involved in AI and healthcare projects. Additional Contributions Assist in developing teaching materials and presentations. Participate in research workshops, symposiums and conferences hosted by CDHAI. Support outreach efforts that engage industry, government and non-profit organizations in AI and healthcare initiatives.

We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve as the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI. The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI). We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include-but are not limited to-computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies. Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative. PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field Strong methodological and computational skills Demonstrated interest or experience in health-related applications of statistical or data science methods Strong written and oral communication skills Ability to work collaboratively with interdisciplinary teams

The Cho Laboratory directed by Sangkyun Cho, PhD, at Johns Hopkins University seeks 1-2 postdoctoral fellows to lead research projects at the intersection of molecular/cellular biology, tissue engineering, and multi-omics, with an emphasis on fibrosis and precision therapeutics. We are especially interested in candidates who bring deep domain expertise in one or more of the following areas: + Stem cells, organoids, tissue engineering, and/or 3D bioprinting + Biomaterials for regenerative medicine and mechanobiology + CRISPR genome editing, CRISPRa/i + Animal work and rodent surgeries + Machine learning / artificial intelligence (using imaging or 'omics data) Responsibilities: + Lead independent and collaborative projects; establish new capabilities for the group + Design and execute experiments/analyses; maintain rigorous documentation and data stewardship. + Mentor and train graduate and undergraduate students; foster an inclusive culture and lab environment. + Prepare manuscripts, present at conferences, and contribute to proposals. Required + Ph.D. (or equivalent) in Biomedical Engineering, Bioengineering, Chemical Engineering, Molecular/Cellular Biology, or a related field by start date. + Demonstrated expertise in at least one target area listed above, evidenced by publications, patents, and/or tool development. + Strong record of teamwork, communication, and research rigor. Preferred + Prior experience setting up or running complex workflows (e.g., organoid platforms, rodent surgeries, high-throughput screening, ML pipelines, etc.). + Experience mentoring students and coordinating multi-lab collaborations. + Familiarity with induced pluripotent stem cells (iPSCs), cardiovascular physiology, and single-cell/spatial omics. The Cho Lab is part of the Institute for NanoBioTechnology (INBT), home to a vibrant community of researchers working at the interface of engineering, biology, nanoscience, and medicine. Candidates will collaborate closely with experts across INBT and the broader Homewood Campus, as well as those at the Johns Hopkins School of Medicine, Bloomberg School of Public Health, and the Center for Microphysiological Systems (MPS). Salary: 60,000-70,000 + How to apply (Interfolio): Submit (i) latest CV, (ii) cover letter with a description of research background and interests, and (iii) names and contact info for three references. + Benefits: Postdoctoral fellows receive comprehensive benefits; see JHU Postdoctoral Fellow Benefits Overview (*********************************************************************************************** . + Johns Hopkins University is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other status protected by law; reasonable accommodations are available. + Background checks and employment eligibility verification may be required per University policy. 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 ********************************************************************************************

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Project Plan: The work will build on PML's current optomechanical accelerometry research and develop sensing optimized for inertial measurement. New sensors will be designed, modeled, fabricated, and fully packaged for deployment. Sensor performance will be measured in the lab and new techniques will be developed to characterize performance for inertial sensing. This supports PML work in Positioning, Navigation and Timing, as well as the national interest in developing this Critical Emerging Technology. This is applied research. The work will entail: Key responsibilities will include but are not limited to: Designing new optomechanical sensors for inertial measurement Fabricating devices in the NIST NanoFab, including packaging Testing the sensors in the lab and measuring sensor performance Performing acceleration measurements using the sensors Assessing the uncertainty and other performance metrics of the sensors Participating in field tests. § A Master's degree in Physics, Electrical Engineering, Mechanical Engineering, or a related field. § 3 years of relevant experience after the Master's degree or a Doctorate degree in Physics, Electrical Engineering, Mechanical Engineering, or a related field. § Ability to develop experimental apparatus using optics. § Ability to perform laboratory optical experiments. § Ability to analyze and model data. § Strong oral and written communication skills.

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

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Postdoc, Protein Sequence Function Measurements The work will entail: The candidate will contribute to cutting-edge research projects aimed at collecting massive protein fitness measurements in service of developing a new generation of predictive models linking sequence to function. Key responsibilities will include but are not limited to: Conduct innovative research in developing large-scale measurements of protein sequence-function relationships. Design and execute experiments, analyze data, and interpret results. Collaborate with multidisciplinary teams. § Write and publish manuscripts for peer-reviewed and open-science mediums. § Present findings at conferences and institutional meetings. § PhD in Biology, Protein Engineering, Biological Engineering, or a related field. § Experience working with E. coli § Experience characterizing protein function and/or biophysical properties. § Excitement for interdisciplinary field-building efforts, particularly within data-driven biology. § The ability to travel occasionally for conferences and collaboration § Strong oral and written communication skills.