Doctoral Fellow jobs at The Johns Hopkins University Applied Physics Laboratory - 61 jobs

2026 PhD Graduate - Postdoctoral Researcher - In-Situ Sensing for Additive Manufacturing
Johns Hopkins Applied Physics Laboratory 4.6
Doctoral fellow job at The Johns Hopkins University Applied Physics Laboratory
Are you passionate about pioneering advancements in additive manufacturing through cutting-edge sensing technologies, data fusion, and real-time control? Do you want to contribute to critical national challenges by enabling intelligent closed-loop monitoring and control of metal additive manufacturing processes? If so, we invite you to join our innovative research team in the Research and Exploratory Development Department (REDD) at the Johns Hopkins University Applied Physics Laboratory (JHU/APL). As an In-Situ Sensing Postdoctoral Fellow, you will be at the forefront of developing and integrating novel sensing modalities, artificial intelligence (AI), and machine learning (ML) algorithms to enhance process control, optimize material properties, and ensure the reliability of additively manufactured components. Your work will be essential in designing closed-loop control systems that adapt dynamically to real-time process data, enabling unprecedented advancements in manufacturing precision and efficiency. Our team is actively developing next-generation sensing and control solutions that will allow real-time adjustments to critical additive manufacturing parameters, such as laser power, scan speed, and material feed rate. By leveraging multi-modal sensor data-including optical, thermal, acoustic, and X-ray imaging-you will help to create intelligent feedback systems capable of identifying defects, predicting failure points, and optimizing manufacturing conditions. These advances will not only push the limits of metal additive manufacturing but will also enable new applications in mission-critical environments where reliability is paramount. As an In-Situ Sensing Postdoctoral Fellow, you will... * Collaborate with APL scientists, engineers, and technicians to develop novel closed-loop sensing and control solutions tailored for additive manufacturing. * Perform pioneering research in materials and process characterization by fusing in-situ sensing modalities to optimize microstructure and density in metal additive manufacturing. * Utilize AI and ML algorithms to extract insights from multi-modal sensor data, improve real-time process monitoring, and drive automated control systems. * Design, implement, and validate adaptive control algorithms that leverage sensor feedback to dynamically adjust processing parameters in real time. * Engage with a multidisciplinary team focused on materials discovery, novel fabrication techniques, multiscale modeling, processing insights, advanced testing, and qualification science. * Present technical findings to both internal and external audiences, effectively communicating complex concepts to team members, task leads, and project leadership. * Contribute to the design, fabrication, and characterization of additively manufactured operational prototypes that demonstrate intelligent process control. Qualifications You meet our minimum qualifications for the job if you... * Possess a Ph.D. in Mechanical Engineering, Electrical Engineering, Materials Science, Data Science, or a related field. * Have strong written and oral communication skills, with the ability to engage wide - ranging audiences and adapt to different communication styles. * Are adaptable, enthusiastic about new challenges, and have a passion for learning with a collaborative mindset open to sharing and receiving feedback. * Have experience solving multidisciplinary research challenges related to qualified hardware and additive manufacturing. * Demonstrate a fundamental understanding of additive manufacturing, including process defects, microstructure evolution, and thermodynamic solidification. * Have a demonstrated track record of authoring research proposals and publishing high-impact journal papers. * Are willing and able to work in a laboratory setting and travel for field testing, sponsor meetings, conferences, and technical presentations. * Are able to obtain a Secret-level security clearance to start with APL and then upi will be required to obtain a final Top Secret clearance. If selected, you will be subject to a government security clearance investigation, and must meet the eligibility requirements for access to classified information, including U.S. citizenship. You will go above and beyond our minimum qualifications if you... * Have experience fielding additively manufactured components. * Demonstrate the ability to fuse 2D and 3D data, including in-situ and post-manufacturing data, into a 3D format for advanced processing and visualization. * Have experience applying AI/ML techniques to complex datasets, including deep learning models for defect detection, anomaly detection, and predictive modeling of additive manufacturing processes. * Have hands-on expertise in developing novel in-situ monitoring methods for additive manufacturing, including custom sensor development to improve signal-to-noise ratios and spatial registration. * Have experience with digital twin technology and reinforcement learning for real-time optimization of manufacturing parameters. * Have experience working with voxel-based data and mapping physical quantifications across multiple sensing platforms. * Possess strong scientific programming skills using tools such as MATLAB or Python, with experience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. We are seeking a postdoctoral fellow with proven expertise in in-situ sensing, AI, and data fusion for additive (or other advanced) manufacturing processes to drive innovation in real-time monitoring and closed-loop control of advanced manufacturing systems. In this role, you will collaborate with a multi-disciplinary team to demonstrate multi-modal (e.g., optical, thermal, acoustic) in-situ sensing and real-time adaptive control in advanced manufacturing environments. At APL, we encourage our team members to generate and lead their own research initiatives while also publishing their findings in high-impact venues. We are a collaborative, risk-taking, and innovative research team dedicated to solving complex technical challenges with national impact. If you are excited about the opportunity to shape the future of additive manufacturing through sensing, AI, and adaptive control systems, we would love to hear from you! 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 $85,300 Annually Maximum Rate $155,500 Annually
$50k-68k yearly est. Auto-Apply 6d ago

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Postdoctoral Fellow (PREP0003231) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
PREP Research Associate CHIPS Funded Project This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Implementing Cutting-Edge Technologies for the Realization of Kelvin at NIST The work will entail: The NIST Temperature and Humidity Group is seeking a motivated individual with a background in physics, or chemical engineering or material engineering to join our Standard Platinum Resistance Thermometer Calibration Laboratory (SPRTCL). The SPRTCL is the main facility in the United States responsible for realizing the kelvin using the International Temperature Scale of 1990 (ITS-90). The laboratory ensures the most precise temperature measurements with the lowest realized and transferred uncertainties, using Standard Platinum Resistance Thermometers (SPRTs) calibrated against nine fixed points ranging from Argon (-189°C) to Silver (961°C). As a member of our multi-disciplinary team, you will collaborate closely with experts in instrumentation, metrology, physics, and engineering to develop and enhance temperature measurement techniques and calibration systems. The laboratory is undergoing major equipment upgrades, and we seek a highly motivated individual to contribute to implementing these upgrades, ensuring the continued precision and accuracy of the United States' national temperature standards. Key responsibilities will include but are not limited to: Contribute to the design, testing, and integration of advanced temperature calibration equipment, ensuring that upgrades align with NIST's standards and precision goals. Collaborate in the implementation of new equipment and methodologies that will enhance the SPRTCL's calibration capabilities and further minimize uncertainties in temperature measurements. Conduct research to explore new methods, tools, and technologies to enhance the precision of temperature measurements and reduce calibration uncertainties. Investigate novel approaches for improving the reliability and accuracy of temperature calibration, with an emphasis on the realization of the Kelvin and the International Temperature Scale of 1990 (ITS-90). Maintain accurate and detailed documentation of equipment upgrades, experimental protocols, calibration results, and research findings to ensure transparency and reproducibility. Ensure that all results, protocols, software, and documentation are archived properly and shared with the larger NIST community and relevant stakeholders. Present research findings, technological developments, and calibration results at internal meetings, external stakeholder meetings, and scientific conferences. A Ph.D. in physics or chemical engineering or material engineering. A background in conducting experimental research, particularly related to temperature measurement, high-precision instrumentation, 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: $90,000-$120,000 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 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
$90k-120k yearly 60d+ ago
Postdoctoral Fellow (PREP0003261) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
PREP Research Associate CHIPS Funded Project. This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, 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: Materials Research Scientist (CHIPS Project: Nanometer-Scale Planar Reference Materials) The work will entail: The candidate will join a team of researchers working with advanced metrology methods to characterize, local physical and chemical properties and map any variation in these properties of thin, nanometer-scale films (oxides, nitrides, carbides, germinides) deposited on Si and SiC wafers. The candidate will plan and conduct research using X-ray reflectivity, X-ray fluorescence spectroscopy, and X-ray photoelectron spectroscopy to determine through hybrid metrology, open-source, analysis methods, structural maps for wafers with thin films of essential interest to the semiconductor community. Key responsibilities will include but are not limited to: - Plan and conduct research on advanced X-ray metrologies to determine structural (physical and chemical) properties of blanket (non-patterned) thin films on Si and SiC wafers. - Use X-ray characterization methods, such as X-ray reflectivity, X-ray fluorescence, X-ray photoelectron spectroscopy, to determine the structural properties of thin film samples. - Use open-source (python) fitting methods to constrain structural models, determine uncertainties, and combined these properties into a hybrid metrology digital wafer. - Perform wafer dicing, cleaning, and packaging of samples for distribution as a Research Grade Test Material to pair with the previously-determined digital wafer model. - Publish results in refereed scientific journals and present results at conferences and meetings. - PhD in physics, materials science, or another related field - Background in X-ray measurement technique(s) required, either: o X-ray reflectivity, X-ray fluorescence, or X-ray photoelectron spectroscopy - Background in programming and/or data modeling using python (or equivalent) recommended. - Familiarity with thin film deposition and clean room access protocols, preferred - Strong oral and written communication skills - Ability to work productively as part of a team and independently Salary: $75,000-$90,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. 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
$75k-90k yearly 60d+ ago
Malone Fellow (Postdoctoral Researcher) 2026 - #Faculty
Johns Hopkins University 4.4
Baltimore, MD jobs
The mission of The Malone Center for Engineering in Healthcare (MCEH) is to catalyze and accelerate the development of research-based innovations that advance the effectiveness and efficiency of health care. The Malone Fellows Program provides a unique postdoctoral training experience, offering researchers from relevant disciplines the opportunity to play a defined role in the center's research mission. Learn more about our current fellows here (************************************************************************************** and here (********************************************************************************** . Research Areas of Interest + Computational Medicine and Bioinformatics + Precision Medicine + ML/AI for Healthcare + Systems Modeling and Optimization + Medical Robotics, AR/VR, HCI, and Devices + Mobile Health Program Benefits + Salary support from MCEH + Academic travel stipend + Mentoring by by MCEH-affiliated faculty + Access to MCEH resources and collaborators + Participation in center-supported educational initiatives and projects PhD in a related field. Salary: $62,232 - $90,000 Please apply using via Interfolio. Applications should include: + Curriculum Vitae (CV) + 2-3 letters of recommendation + A brief cover letter that need only state 1-3 potential faculty mentors of interest. See the complete list of Malone core and affiliate members (*********************************************** who are eligible to host Fellows. + Internal JHU applicants must work with a new faculty mentor (not their current PhD or lab mentor) and propose research that goes beyond a direct continuation of their previous work. Applications are open for the 2026 fall semester! To receive full consideration, applications should be submitted by January 31, 2026. Decisions will be received in March 2026. Job Type: Full Time
$62.2k-90k yearly 60d+ ago
Postdoctoral Fellow (PREP0003933) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Postdoctoral Research Associate in Electron Microscopy The work will entail: NIST is actively seeking a candidate for a postdoctoral research position as part of a project related to the CHIPS for America Act. The project seeks to develop quantitative, atomic-resolution methods for the three-dimensional characterization of complex semiconductor devices via electron tomography. By coupling advance specimen preparation, cutting-edge electron microscopy instrumentation, and AI-driven data collection and reconstruction, we will deliver a robust suite of measurement tools to the semiconductor industry. Key responsibilities will include but are not limited to: § Sample preparation via focused ion beam methods § Collecting and processing of TEM tomography data § Presenting results at internal meetings, and occasional meetings with external stakeholders. § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. Ph.D. in Physics, Materials Science, or a related field with a concentration in electron microscopy methods § Experience in the collection and processing of TEM/STEM data § Computer programming for custom data processing § Strong oral and written communication skills. Salary: $82,000 - $89,000 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. 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
$82k-89k yearly 56d ago
Postdoctoral Fellow (PREP0002996) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
PREP Research Associate CHIPS Funded Project. This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Postdoctoral Research Chemist The work will entail: Develop targeted and non-targeted analytical mass spectrometric methods for the identification and quantification of organic contaminants in ultra-pure water and other cleaning chemicals used in the semiconductor industry. Explore various extraction and concentration techniques (SPE, SPME, purge-and-trap, headspace, etc.) and/or develop novel concentration techniques to be able to detect contaminants at trace levels. Use high-resolution mass spectrometry for compound discovery of potential unknown organic contaminants. Key responsibilities will include but are not limited to: + Develop new methods, approaches, and procedures in cooperation with coworkers or advisors with limited supervision; + Using advanced analytical equipment such as GC-MS, GC-MS/MS, GC-HRMS, LC-MS/MS, and LC-HRMS; + Develop non-targeted high-resolution mass spectrometry-based methods for compound discovery at trace levels; + Investigate various extraction and concentration protocols, and if needed develop novel techniques; § Communicate and collaborate with team members; and § Ph.D. in Chemistry, or a related field. § Experience in chromatography and mass spectrometry such as GC-HRMS, GC-MS/MS, LC-HRMS, LC-MS/MS, etc. § Experience with non-targeted data analysis for compound discovery. § Experience with method development. § Experience with various sample extraction and concentration techniques. § Strong oral and written communication skills. Salary: $78,000-$89,000 Please upload the following with your application: - CV/Resume - 2 professional references *Please limit C.V to 2 pages only *Do not include any personal information such as photos, home address or phone numbers 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
$78k-89k yearly 60d+ ago
Postdoctoral Fellow (PREP0003537) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
PREP Research Associate CHIPS Funded Project This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, and thus requires that such institutions be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Accelerated Laboratory Testing and Failure Analysis for Advanced Semiconductor Packaging The work will entail: The Infrastructure Materials Group at the National Institute of Standards and Technology seeks a researcher with knowledge of reliability testing and modeling for advanced semiconductor packaging and extensive expertise in one or more of the following technical areas: accelerated laboratory testing, polymer degradation, mechanical characterizations for interfaces of multilayers, and failure analysis using microscopy, spectroscopy, or X-ray based techniques. If selected, you will play a significant role in the projects related to reliability testing and modeling for advanced packaging in semiconductors. This includes working with NIST staff and external partners on planning and executing experimental research to evaluate changes in mechanical, thermal, and electrical properties of polymeric materials used in advanced packaging in CHIPS after aging under environmental stresses. The results will be used to understand the failure mechanism, develop more accurate prediction models for long-term reliability of advanced packaging reliability and provide a scientific basis for test method development, material selection, and product quality assurance for the semiconductor industry. Key responsibilities will include but are not limited to: - Developing new test methods for thin film interfacial adhesion. - Characterizing the degradation of materials and interfaces before, during, and after exposure to accelerated laboratory aging. - Conducting in-situ environmental digital image correlation (DIC) to quantify package and assembly deformation during thermal cycling - Developing FIB/TEM/SEM analytical methods and X-ray-based techniques for complex advanced packaging systems. - Developing robust datasets of materials and interface properties before and after aging for reliability models. - Disseminating research results through presentations at conferences, publication of journal papers, and technical reports. - Live in the United States - Ph.D. in Materials Science / Mechanical Engineering / Electrical Engineering /Physics/Chemical Engineering/Chemistry - Strong oral and written communication skills - Experience in: - Reliability testing and modeling - Nano- and micro-scale materials characterization - Degradation or failure analysis of complex semiconductor systems - Experience in advanced semiconductor packaging preferred Salary: $82,000-$86,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work. Job Type: Full Time
$82k-86k yearly 60d+ ago
Postdoctoral Fellow (PREP0003795) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
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
$75k-85k yearly 60d+ ago
Postdoctoral Fellow (PREP0003125) - #Faculty
Johns Hopkins University 4.4
Gaithersburg, MD jobs
PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. Research Title: Exoskeleton, Legged and Humanoid Robots, and Human-Robot Interaction Research The work will entail: To support the National Institute of Standards and Technology's effort to develop standard test methods for exoskeletons, legged robots, and human-robot interaction standards. Key responsibilities will include but are not limited to: + Conducting state-of-the-art measurement science research in robotics for manufacturing and other applications. + Programming of physical and simulated robots using a variety of software. + Use machine learning and other AI techniques to enhance robot capabilities, particularly in the realm of HRI. + Helping develop standards for autonomous robots, wearable robots, and augmentative robots that seamlessly integrate into human environments. + Implementing state-of-the-art whole-body-controllers and control techniques for humanoid robots and powered exoskeletons. + Collaborating with interdisciplinary teams to design, simulate, and optimize robotic systems using advanced software tools. + Publishing results in peer-reviewed journals and/or at conferences. + Develop test apparatuses, performance metrics, and data collection tools for evaluating robot capabilities. + Validate the repeatability and reproducibility of the tests for various classes of robotic systems. - Ph.D. in Mechanical Engineering or closely related field. - Experience in: Robotics and automation, system dynamics, linear and non-linear control systems, adaptive control, optimal control, whole-body control, human-robot interaction, powered and passive exoskeletons, legged robots, machine learning, AI applications, reinforcement learning, control tuning and implementation, and motion planning. - Proficiency in programming languages such as Java, Matlab, Python, C/C++ - Proficiency in ROS, Latex, and 3D CAD Salary: $80,000-$85,000 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
$80k-85k yearly 60d+ ago
Postdoctoral Fellow - Normativity Lab - #Faculty
Johns Hopkins University 4.4
Baltimore, MD jobs
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
$63.4k-80k yearly 56d ago
Postdoctoral Fellow Positions - Data Science and AI in Health and Medicine - #Faculty
Johns Hopkins University 4.4
Baltimore, MD jobs
We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve as the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI. The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI). We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include--but are not limited to--computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies. Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative. + PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field + Strong methodological and computational skills + Demonstrated interest or experience in health-related applications of statistical or data science methods + Strong written and oral communication skills + Ability to work collaboratively with interdisciplinary teams Salary: $65,000-75,000 per year Interested applicants should submit the following materials: + Cover letter (no more than 3 pages, including past research experience, names of potential faculty mentors in the department, a brief description of possible research projects and ways the candidate's work could help advance data science and AI in the Department and University, and the candidate's larger career goals) + Curriculum vitae + Contact information for three references Applications will be reviewed beginning on October 15 and will be reviewed on a rolling basis until the positions are filled. Job Type: Full Time
$65k-75k yearly 60d+ ago
Postdoctoral Fellow - Atomistic Simulations and AI for Materials Design - #Faculty
Johns Hopkins University 4.4
Baltimore, MD jobs
The AtomGPTLab, led by Dr. Kamal Choudhary at Johns Hopkins University, invites applications for a Postdoctoral Fellow position in the fields of atomistic simulations, machine-learned force fields, and artificial intelligence (AI). The successful candidate will lead the development of a computational platform that unifies first-principles methods, classical molecular simulations, and cutting-edge AI techniques including graph neural networks (GNNs) and large language models (LLMs) to accelerate experimental design and discovery of novel materials. The research spans quantum mechanics, statistical physics, and deep learning, and aims to enable AI-guided predictions of synthesizable and functional materials such as superconductors, catalysts, semiconductors, and energy-relevant compounds. The position is embedded in an interdisciplinary and collaborative environment with active interactions across experimental groups and national laboratories. Basic Qualifications or Specialized Certifications + A PhD in Materials Science, Physics, Chemistry, Chemical Engineering, Computer Science, or a related field. + Demonstrated experience in one or more of the following: Density Functional Theory (DFT), machine-learned force fields (MLFF), graph neural networks (GNNs), or large language models (LLMs). Extensive Knowledge In: + First-principles simulations with packages such as VASP, Quantum ESPRESSO, GPAW. + Machine-learned interatomic potentials (e.g., ALIGNN-FF). + Structure-property prediction using GNNs (e.g., ALIGNN,). + LLM fine-tuning and prompt engineering (e.g., HuggingFace, OpenAI, AtomGPT). Working Knowledge Of: + Workflow tools (e.g.,JARVIS-Tools, ASE) and HPC environments. + Software development in Python, Git-based version control, and Conda packaging. + Data integration and surrogate modeling using experimental and computational datasets. + Interdisciplinary collaboration and mentoring of students or junior researchers. Specific Duties & Responsibilities + Conduct high-throughput DFT calculations and manage large-scale materials datasets. + Develop GNN architectures for predicting materials properties from atomic graphs. + Train and deploy machine-learned force fields for MD simulations and rapid screening. + Fine-tune or pre-train LLMs for generation and analysis of materials structures, synthesis protocols, and characterization outputs. + Build pipelines for combining experimental and simulated data for inverse design. + Provide real-time computational feedback to experimental collaborators for synthesis and characterization. + Lead manuscript writing, conference presentations, and contributions to open-source repositories. + Mentor undergraduate and graduate students, and participate in grant proposal development. Additional Opportunities + Collaborate as Co-PI on interdisciplinary proposals. + Engage with experimental groups, national labs, and industry partners. + Participate in the development of open cyberinfrastructure (e.g., AtomGPT.org). + Attend international conferences and contribute to global research communities. + Access to cutting-edge computing clusters and experimental characterization tools. Salary: $62,232 - $75,564 Applicants should submit a curriculum vitae and three recent publications. Review of applications will begin in mid-August 2025. Job Type: Full Time
$62.2k-75.6k yearly 60d+ ago
Joint Postdoctoral Fellowship in Ethics, Global Health and Infectious Disease
Johns Hopkins University 4.4
Baltimore, MD jobs
The Johns Hopkins Berman Institute of Bioethics and the Wellcome Centre for Ethics and Humanities at the University of Oxford have established the Global Infectious Disease Ethics (GLIDE) collaborative with support from the Wellcome Trust. A central pillar of this partnership is a joint post-doctoral fellowship training opportunity. We are pleased to invite applications to the program from uniquely qualified individuals who are committed to interdisciplinary and transnational collaboration and who have a particular interest in the ethical issues at the intersection of global health and infectious disease. This two-year fellowship will begin September 1, 2026, pending funding approval. 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.
$65k yearly Easy Apply 60d+ ago
Postdoctoral Fellow in Computational Neurolinguistics - #Faculty
Johns Hopkins University 4.4
Baltimore, MD jobs
The Hale research group in the Department of Cognitive Science at Johns Hopkins University seeks an outstanding postdoctoral fellow to begin July 1, 2026 for a one-year initial, contract-renewable appointment. The primary responsibility of the appointee will be to analyze naturalistic MEG data, with an aim of shedding light on the cross-linguistic Mechanisms underlying Human Sentence Processing. Required Qualifications + PhD in an area of cognitive science or a closely neighboring field such as cognitive neuroscience, linguistics, computer science, or engineering + Experience in preprocessing and analyzing SQUID MEG using standard libraries such as MNE-Python or FieldTrip + Familiarity with magnetoencephalographic source localization techniques + Ability to apply temporal response function- (TRF-) style analyses to naturalistic MEG data, as in Brodbeck et al. (2018 (https://www.sciencedirect.com/science/article/pii/S1053**********29?via%3Dihub) ; 2020 (****************************************************************************** ; 2022 (***************************************** ; cf. Lalor et al., 2006 (https://www.sciencedirect.com/science/article/pii/S1053**********34) ; 2009 (*********************************************************************************************************************************************** ) + Strong programming skills and the ability to write clean, shareable, methodologically-communicable, and well-documented research code + Fundamental knowledge of machine learning, inferential statistics, and linguistics + Ability to work as part of larger research group and coordinate with other team members Preferred Qualifications + Academic domain expertise in (computational) psycho- and neurolinguistics + Conceptual understanding of modern neural language models (Transformers, RNNs) and the ability to interact with them via e.g., the Hugging Face and PyTorch libraries + An interest in oscillatory and/or connectivity dynamics during naturalistic language comprehension, as in Meyer (2017 (****************************************************** ) and e.g., Chalas et al. (2024 (https://www.sciencedirect.com/science/article/pii/S0**********0856X) ), Meyer et al. (2015 (https://www.sciencedirect.com/science/article/pii/S0010**********97) ) + An interest in probing interpretable, theory-grounded cognitive processes involved in language comprehension, such as memory retrieval and disambiguation Salary: $62,232 a year Applicants should submit a CV, research statement, and the contact information of three recommenders to the application in Interfolio. Job Type: Full Time
$62.2k yearly 53d ago
Postdoctoral Fellowship in Digital Health and Artificial Intelligence
Johns Hopkins University 4.4
Baltimore, MD jobs
Johns Hopkins Carey Business School invites applications for a postdoctoral fellowship position in the academic area of information systems, with a particular emphasis on digital health. This is a full-time research position The position is a two-year appointment with the possibility of extension. The position offers competitive compensation and benefits. The appointment will begin Winter 2025, or as soon thereafter as a successful candidate is identified. We are seeking candidates who have an interest in studying the social, behavioral and economic interactions underlying the use of digital technologies, analytics, and artificial intelligence in the healthcare sector. Candidates with a strong background in their disciplinary theories are preferred. We welcome applications from candidates motivated by the unique opportunity to participate in building a world-class business school at a premier private university. Qualified candidates for the postdoc position must have the following: A PhD degree in business, computer science, informatics, social sciences (preferably sociology, psychology, or economics), public health or a related field is required and must be conferred by employment start date. A demonstrated strong commitment to academic research. Core Responsibilities Conduct collaborative research at the intersection of artificial intelligence, digital technology and healthcare delivery, management and policy. Publish research findings in top-tier academic journals and present at leading conferences in IS, management, AI and healthcare conferences. Contribute to grant writing and funding proposals to support ongoing and new research initiatives. Collaborate with faculty, students, and industry partners on interdisciplinary projects that translate AI innovation into healthcare and business impact. Mentor undergraduate, graduate and PhD students who are involved in AI and healthcare projects. Additional Contributions Assist in developing teaching materials and presentations. Participate in research workshops, symposiums and conferences hosted by CDHAI. Support outreach efforts that engage industry, government and non-profit organizations in AI and healthcare initiatives.
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow Positions - Data Science and AI in Health and Medicine
Johns Hopkins University 4.4
Baltimore, MD jobs
We invite applications for Postdoctoral Fellow positions in the broad areas of data science and AI, with a focus on developing and applying novel data science approaches, computational tools and statistical methods to advance health and biomedical research. Johns Hopkins University has recently made transformative new investment in launching a new Data Science and AI institute that will serve as the hub for interdisciplinary data collaborations with faculties and students from across Johns Hopkins and will build the nation's foremost destination for emerging applications, opportunities and challenges presented by data science, machine learning and AI. The Department of Biostatistics at Johns Hopkins University is internationally recognized as a leader in the development of statistical and computational methods for biomedical research. With over 30 full-time faculty and a thriving research community, the department plays a central role in advancing public health and clinical science through methodological innovation and deep interdisciplinary collaboration. Faculty members are actively engaged in a wide range of research areas, including large-scale health studies, computational biology, statistical genetics, neuroimaging, wearables, causal inference, and other emerging applications in data science and artificial intelligence (AI). We are seeking outstanding candidates with strong foundations in statistics, computation, and applied data science. The successful applicant will have the opportunity to work with multiple faculty mentors in the department and potentially from other departments at JHU with research topics that may include-but are not limited to-computational approaches such as AI and machine learning; methodological foundations, computational approaches and biomedical applications, such as AI for biomedicine, causal inference, Bayesian inference, survival analysis, statistical genetics and genomics, electronic health records (EHRs), wearables, longitudinal or spatial data analysis, and other high-throughput data sources. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies. Candidates should indicate in their cover letter the names of potential faculty mentors and an indication of potential projects the candidate could work on that would advance our understanding and/or application of data science and AI to health and biomedical research. Applicants whose work might bridge multiple faculty members' interests, or make connections across disparate fields, are particularly welcomed. Applicants are also encouraged to suggest ways in which their work can provide connections to other data science and AI work across the University, including the Data Science and AI Initiative. PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field Strong methodological and computational skills Demonstrated interest or experience in health-related applications of statistical or data science methods Strong written and oral communication skills Ability to work collaboratively with interdisciplinary teams
$46k-56k yearly est. 54d ago
Austen Stokes Art of the Ancient Americas Endowed Postdoctoral Fellow
Johns Hopkins University 4.4
Baltimore, MD jobs
The Department of the History of Art at The Johns Hopkins University invites applications for a two-year postdoctoral fellowship in the Art of the Ancient Americas to begin July 1, 2026. Fellows will teach one class each semester (undergraduate or graduate) and participate fully in the life of the department and university. We encourage applications from scholars specializing in the arts of pre-Columbian cultures in North, Central, and/or South America. For further information, contact Marian Feldman, Search Chair (****************). For more information about the department, visit *********************** Ph.D. in the History of Art, Anthropology/Archaeology or related field required at time of appointment. Successful candidates must demonstrate an ability to conduct independent research and show promise for excellence in teaching at the undergraduate and graduate levels.
$46k-56k yearly est. Easy Apply 13d ago
Postdoctoral Fellow - #Faculty
Johns Hopkins University 4.4
Baltimore, MD jobs
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
$46k-56k yearly est. 60d+ ago
Postdoctoral Fellow (PREP0003565)
Johns Hopkins University 4.4
Gaithersburg, MD jobs
Functional Recovery Design of Steel Structures This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration. A Senior Researcher is sought for a position in Structural Engineering to contribute to cutting-edge work on resilience-based seismic design of steel structures. This opportunity is part of a high-impact research effort focused on advancing the science of seismic design for damage control, post-earthquake performance, residual capacity, and repairability of steel buildings at both the component and system levels. The researcher will collaborate closely with leading experts at NIST and academia to accelerate the development of next-generation seismic design and post-earthquake evaluation procedures. Key Responsibilities: · Synthesize knowledge from past experimental tests and high-fidelity models of structural steel components. · Develop new nonlinear finite element models to address key data gaps in steel component behavior. · Translate findings into technical guidance that informs seismic design for damage control, post-earthquake assessment and decision-making for structural engineers. · Conduct nonlinear dynamic analyses and consequence modeling across a suite of steel building archetypes to demonstrate the real-world application of the developed procedures. · Ph.D. in Civil Engineering with a focus on the behavior of steel structures · Strong background in the behavior of structural steel components and nonlinear analysis of steel systems, with emphasis on seismic effects · Experience with OpenSees and/or other high-fidelity finite element software; proficiency in Python and/or MATLAB · Excellent written and oral communication skills · Strong publication record in leading peer-reviewed journals
$46k-56k yearly est. 60d+ ago
2026 PhD Graduate - Artificial Intelligence and Machine Learning (AI/ML) Research Scientist
Johns Hopkins Applied Physics Laboratory 4.6
Doctoral fellow job at The Johns Hopkins University Applied Physics Laboratory
Are you an early-career researcher hoping to invent the future of artificial intelligence (AI)? Do you have a burning desire for your research to serve a bigger purpose? Are you concerned about pressing challenges facing our nation's security and prosperity? If these questions describe you, you may be the kind of person the Artificial Intelligence Group at JHU/APL is looking for. We are a team within the Research and Exploratory Development Department (REDD) that strives to close the gap between frontier models and our sponsors' expectations for an AI-dominated future. Our research programs are targeting foundational advances with cross-mission impact, such as: * Improving alignment of AI agents used in human-machine teaming and wargaming * Training multimodal foundation models on language and sensor data * Intelligent robots that use agentic AI to perform complex tasks in a self-directed way * Assessing, mitigating, and exploiting vulnerabilities of frontier models * Mission-driven test and evaluation (T&E) of novel research We are seeking new PhD graduates that, in the short-term, can make important contributions to our current research, and in the long-term can grow into a thought leadership role for the Laboratory. We have many opportunities for you to propose your own ideas for internal seedling funding, and our Program Managers can help you grow these into externally-funded projects. Along the way, we will encourage and support publication of your work and engagement with the broader research ecosystem. Qualifications You meet our minimum qualifications for the job if you: * Have a PhD or equivalent degree with dissertation work in fundamental AI research. * Have a strong record of peer-reviewed publications in reputable journals and/or conferences. * Are proficient in Python programming with experience using PyTorch and/or Jax, including Hugging Face libraries (transformers, diffusers, datasets, tokenizers, etc.). * Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you have research experience in any of these areas: * Measuring and increasing alignment between humans and AI agents * Novel techniques for training and/or fine-tuning foundation models * Models or agents for robotic control and problem-solving * Adversarial and/or natural robustness of computer vision and autonomy * Neural rendering techniques for 3D scene reconstruction About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $105,000 Annually Maximum Rate $245,000 Annually
$45k-59k yearly est. Auto-Apply 6d ago