David Broniatowski

George Washington University and the National Institute of Standards and Technology (NIST) are advertising a post-doctoral research position in quantum magnetometry and NV center magnetometry at the NIST campus in Gaithersburg, Maryland. The role is based in the Nanoscale Spectroscopy Group and focuses on the physics and control of color center spins for next-generation quantum sensors. The project centers on Photoelectrically Detected Magnetic Resonance (PDMR) and related ODMR/EDMR methods, with an emphasis on moving beyond traditional optical readout. The successful candidate will work on high-resolution spectral characterization, scanning confocal and widefield microscopy, time-resolved detection, and numerical modeling of spin dynamics. The post also highlights the use of Bayesian experimental design to automate and optimize measurements. This is a bench-to-application research role with potential impact in real-world sensing applications such as medicine and resource exploration. The post also mentions exploring other promising color center systems, including GaN , silicon , and SiC . Eligibility highlights: a Ph.D. in Physics, Electrical Engineering, or Applied Physics; at least 2 years of relevant experience in magnetic resonance of color center spins; strong lab skills in confocal microscopy, lasers, optical alignment, and microwave electronics; and familiarity with programming instrumental control and Bayesian experimental design. Funding: the post does not specify stipend, salary, or other financial details. How to apply: use the provided application link and follow the instructions on the linked page. No deadline is stated in the post.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Researcher in quantum thermometry and atomic temperature metrology . The project aims to develop a primary temperature standard based on Rubidium atoms and atomic fluorescence intensity ratios, contributing to the NIST-on-a-Chip initiative for compact, deployable, SI-traceable quantum sensors. The research combines laser spectroscopy , frequency stabilization , Python-based modeling , and rate-equation simulations to understand population dynamics and realize a primary thermometer. Experimental work includes locking multiple lasers to atomic transitions, designing fiber-optic delivery systems, and characterizing systematic effects to meet primary standard requirements. Eligibility: applicants should hold a Ph.D. in Physics or a related field . The post specifically asks for experience in at least two of the following areas: laser frequency stabilization , Python programming for data analysis and modeling , temperature metrology , and coupled rate-equation modeling . This is a post-doctoral research opening at the NIST Campus in Gaithersburg, Maryland . The post does not specify stipend, duration, or deadline. Interested candidates should use the provided application link to review the opportunity and submit their application.

Post-Doctoral Fellow in Steel Corrosion Metrology and Service-Life Modeling at the National Institute of Standards and Technology (NIST) The George Washington University and NIST are seeking a post-doctoral fellow to join the Infrastructure Materials Group in Gaithersburg, Maryland. This opportunity focuses on solving the corrosion of steel in concrete through atomic-level, data-driven metrology and translating laboratory findings into high-fidelity service-life models that can inform national building codes. The research sits at the intersection of materials science , chemistry , and civil engineering , with strong relevance to corrosion of metals , electrochemistry , concrete durability , and structural service-life prediction . The fellow will design fundamental electrochemical studies, use advanced characterization tools such as EIS, SEM-EDS, Raman, XPS, and OCP/LPR measurements, and help connect microstructural and electrochemical data to PDM (Point Defect Model) parameters and fragility models. Eligibility highlights include a Ph.D. in Materials Science, Metallurgy, Chemistry, or a related field, ideally earned within the last five years. Applicants should have deep expertise in corrosion of metals, plus hands-on experience with Electrochemical Impedance Spectroscopy (EIS) and Mott-Schottky analysis. Familiarity with SEM/EDS and electrochemical testing protocols is also requested. This is a research-intensive postdoctoral role with impact beyond the lab: the work contributes to standards development with ASTM and AMPP and supports resilient, sustainable infrastructure. The post does not mention a stipend, tuition, or other funding details. Location: NIST Campus, Gaithersburg, MD, United States. Application: use the provided application link to apply. No deadline was stated in the post.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a PREP Research Associate for the Measurement Science for Automated Vehicles project in Gaithersburg, Maryland. This opportunity is centered on autonomous vehicles , measurement science , scenario engineering , simulation , and AI/ML . The role focuses on building and curating large scenario databases for behavioral testing, including lane changes, merges, and intersection navigation, and on designing standardized World State schemas that connect AV stacks with simulation environments. Key work includes generating edge-case scenario variants, defining message schemas and interface specifications, supporting cryptographic hashing for data integrity, and ensuring compatibility across modular and end-to-end autonomous driving architectures. Eligibility highlights include an MS degree or BS + 2 years of experience in Computer Science , Robotics , or AI/ML . Applicants should have strong programming skills in Python and C++ , experience with ROS 2 on Linux, and familiarity with CARLA , SUMO , TensorFlow, PyTorch, behavioral planning, data modeling, Git workflows, and database management. The post does not mention a deadline or detailed funding package. It is a research associate opening at NIST with a strong applied research and standards-development focus. To apply, use the linked application page and submit your materials through the portal.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Fellow for research on the structural integrity of next-generation AI chips and advanced semiconductor packaging. The project focuses on modeling and mechanical testing of heterogeneous structures in the context of the CHIPS Act mission, with an emphasis on reliability and failure analysis for 3D-stacked and multilayer systems. The successful candidate will lead reliability modeling efforts using finite element analysis (FEA) and advanced mechanical testing to predict how heterogeneous multilayered systems made of polymers, metals, and silicon behave over their service lifetime. Research topics include thermomechanical modeling , nano/micro-scale testing , adhesion testing , polymer degradation , damage modeling , and investigation of failure mechanisms such as delamination and cohesive damage. Applicants should hold a Ph.D. in Mechanical Engineering, Physics, Materials Science, or a related field . Strong expertise in FEA of heterogeneous systems is required, together with hands-on experience in nano- and micro-scale mechanical testing . Familiarity with adhesion testing , polymer degradation , and damage propagation is also expected. The post notes that the candidate must currently live in the United States . This is a research-intensive postdoctoral opportunity based at the NIST Campus in Gaithersburg, Maryland , supporting the scientific basis for quality assurance in the U.S. semiconductor supply chain. Interested applicants should use the provided application link to review the posting and submit their materials.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a PREP Research Associate for Artificial Intelligence Research and Evaluation Programs in Gaithersburg, Maryland. This opportunity sits at the intersection of AI policy, public policy, political science, social science, and empirical research. The role focuses on helping NIST evaluate and standardize AI by analyzing public comments on major projects, monitoring new legislation and media reports, supporting senior leaders, and producing high-impact publications and technical work products. Ideal applicants should have a bachelor’s degree in Social Science, Political Science, Public Policy, or a related field. The post also highlights the need for a strong understanding of American government and politics, familiarity with qualitative or quantitative research methods, and excellent writing skills. This is a research associate opening rather than a PhD, postdoc, or master’s call. The post does not mention funding, stipend, or deadline details. Applications are submitted through the provided link. Location: NIST Campus, Gaithersburg, MD, United States.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Fellow for a high-impact project on digital twins for atomic layer deposition (ALD) and semiconductor manufacturing. The role is based at the NIST campus in Gaithersburg, Maryland, USA , and is part of a CHIPS Act initiative focused on improving the modeling and optimization of deposition processes for oxides, metals, and sulfides. The project combines chemistry , physics , and materials science with advanced optical metrology , computational fluid dynamics (CFD) , and machine learning (ML) . The selected fellow will help develop in-situ metrology tools to quantify mass transport during thermal ALD, generate experimental ground-truth data, and validate models that predict surface reactions and film growth with high accuracy. Responsibilities include operating and maintaining research-grade ALD reactors and custom optical setups, performing temporally and spatially resolved measurements from UV to mid-IR during active deposition, validating transport and surface-reaction models with process data, collaborating with experts in MEMS design, numerical modeling, and vapor-phase chemistry, and publishing/presenting research findings. Applicants should hold a Ph.D. in Chemistry, Physics, Materials Science, or a related field . Strong hands-on experience with ALD reactor design, assembly, and maintenance is required, along with expertise in in-situ diagnostics, custom laboratory instrumentation, vapor transport mechanisms, precursor chemistry, and process optimization. This is a postdoctoral opening ; the post does not specify salary, stipend, or deadline. Interested candidates should use the application link provided in the post to apply.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Senior Research Fellow for a project on seismic assessment of FRP-retrofitted reinforced concrete shear walls in Gaithersburg, Maryland. This is a research-intensive, standards-oriented role focused on quantifying the performance of aging concrete infrastructure after retrofit. The fellow will lead numerical analysis of experimental data, develop modeling parameters and acceptance criteria, build definitive datasets, and contribute to authoritative technical publications and guidelines. The opportunity is especially relevant to candidates with expertise in civil engineering , structural engineering , performance-based seismic design , concrete structures , and FRP retrofit design . Experience with seismic code and standard committees such as ACI 440 and ASCE 41 is specifically highlighted. Eligibility highlights include a Ph.D. in Civil Engineering (Structural focus) , deep background in seismic performance of concrete structures, and the ability to work independently to meet project objectives and reporting requirements. The post does not mention a deadline or funding amount. Interested applicants should use the provided application link to review the role and submit materials.

Senior Research Fellow opportunity in structural reliability and civil engineering at the National Institute of Standards and Technology (NIST) , in collaboration with George Washington University . The role focuses on building the technical basis for next-generation building standards by developing nonstationary reliability methods that incorporate changing hazards and long-term structural degradation. The research is centered on how future conditions, rather than only historical data, should inform engineering design codes. Key research themes include probabilistic structural reliability , hazard characterization , nonstationary modeling , and the modernization of standards-development tools. The post highlights applications to wind, flood, and seismic hazards, as well as the resilience of infrastructure over decades. Eligibility requirements include a Ph.D. in Civil Engineering with a structural focus or a related field, plus 5+ years of postdoctoral or faculty-level experience . Applicants should have deep expertise in probabilistic methods for structural reliability and a strong record of high-impact research, publications, and independent project leadership. This is a research leadership role rather than a student opening. The post does not mention tuition support or scholarship funding, and no deadline is provided. Interested candidates should use the application link in the post to review the full opportunity and submit materials.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Fellow for Statistical Models and Computational Algorithms for Nanoparticle Tracking Analysis in Gaithersburg, Maryland, United States. This opportunity sits at the intersection of Statistics , Physics , Computer Science , Biophysics , Materials Science , and Biomedical Engineering . The project focuses on measuring the dimensions of a single nanoparticle in motion using Bayesian inference , molecular dynamics , high-performance computing , and advanced image-analysis methods. The selected fellow will join a team of statisticians and metrologists to improve the accuracy and precision of Nanoparticle Tracking Analysis (NTA) . Research tasks include building Bayesian frameworks for multi-source data, running MD simulations in LAMMPS , developing Gaussian process computer-model surrogates, processing sub-resolution structures in optical and AFM micrographs, and working in HPC environments. Eligibility highlights: applicants should hold a Ph.D. in Statistics, Physics, Biophysics, or Computational Science . Strong experience in Bayesian modeling, MCMC, optimization, simulation, programming, and HPC is expected. The post emphasizes the ability to translate complex physical and statistical ideas for non-specialists. Funding: the post is a post-doctoral fellow role; the announcement does not specify stipend, salary, or duration. Application: use the provided application link to apply. No deadline is stated in the post. Location: NIST Campus, Gaithersburg, MD.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Faculty Research Associate in low-damage seismic systems , with a focus on rocking structures and earthquake engineering . The role is based at the NIST campus in Gaithersburg, Maryland, and is centered on advancing “Functional Recovery” after earthquakes by developing structural systems that reduce damage and repair time. The research agenda includes comparative analysis of conventional versus rocking systems, nonlinear modeling in OpenSees , parametric studies on ground motion characteristics, and the creation of a structural component database using Python , MATLAB , and Tcl . The position also involves developing design standards and guidelines to help bring low-damage rocking technologies into mainstream engineering practice, as well as evaluating cost-benefit implications across seismic hazards. Applicants should hold a Ph.D. in Civil or Structural Engineering with a focus on Earthquake Engineering . The post specifically looks for candidates with extensive OpenSees experience, strong programming skills, a publication record in rocking systems, and hands-on experience with large-scale structural testing, component testing, or shake table testing. This is a research-oriented opening rather than a scholarship or studentship. No funding amount, deadline, or waiver is mentioned in the post. Interested candidates should use the provided application link to review the opportunity and submit materials.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Fellow for interpretable DNA/RNA ensemble quantification in Gaithersburg, Maryland. This research opportunity sits at the intersection of physics , chemistry , biology , computer science , and mathematics . The project focuses on DNA and RNA as dynamic molecular systems rather than static sequences, with an emphasis on molecular dynamics , statistical physics , unsupervised learning , and scalable clustering methods. The successful candidate will develop hierarchical, interpretable representations of nucleic acid ensembles, design secondary-structure-based distance metrics, and connect large-scale simulations to experimental observables. Responsibilities include extending DNA/RNA ensemble representations, implementing optimized metrics based on base-pair reorganization, building model-selection tools for large MD datasets, and developing reproducible research software in Python (with Julia as a plus). The role also involves collaboration with experimental and device-focused teams to bridge theory and measurement. Eligibility highlights: a Ph.D. in Physics, Chemistry, Biophysics, Computational Biology, or Computer Science is required. Experience with oxDNA/oxRNA or similar coarse-grained frameworks is preferred, along with strong analytical skills in clustering, free-energy landscapes, and kinetic pathways. Funding details are not specified in the post. The post does not list a deadline, so applicants should apply as soon as possible through the provided link.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Senior Research Fellow for the Community Resilience Measurement Project in Gaithersburg, Maryland. This opportunity is centered on community resilience , disaster recovery , hazard impacts , and the development of standardized measurement tools that can turn resilience into a measurable science. The role is especially relevant for candidates with a PhD in Geography , Sociology , or a related social science field. The fellow will contribute to the NIST Disaster and Failure Studies Program by designing and validating generalized survey and interview instruments, testing resilience indicators with county-level U.S. data, and supporting organizations such as schools and hospitals in planning for recovery and stability after natural hazards. Key work areas include instrument development, mixed-methods analysis, indicator validation, and scientific communication. The post also highlights responsibility for documentation supporting IRB and OMB Paperwork Reduction Act approvals, so experience with research compliance and federal processes is valuable. Applicants should have at least 3 years of research experience in disaster recovery and hazard impacts, strong quantitative and qualitative methods skills, and the ability to collaborate across interdisciplinary teams of social scientists and engineers. No funding amount is stated in the post. The position is described as a senior research fellowship rather than a degree program, and the application is submitted through the linked page.

Master’s-Level Research Associate in AI and Indoor Air Quality Modeling at NIST The George Washington University and the National Institute of Standards and Technology (NIST) are seeking a PREP Research Associate to work on Indoor Air Quality Modeling and AI for CONTAM development in Gaithersburg, Maryland. This opportunity is aimed at an M.S. graduate with strong programming ability and an interest in applying artificial intelligence to real-world engineering problems. The role focuses on automating building simulation workflows using the newly released CONTAM APIs , developing agent-based AI methods, and helping replace manual modeling tasks with autonomous systems. Research and technical themes: building analytics, indoor air quality, contaminant transport, airflow simulation, software automation, agent-based AI, Git-based collaboration, and CI/CD workflows. Eligibility highlights: M.S. degree in Mechanical Engineering, Architectural Engineering, or a related field; strong coding skills in Python, C, C#, or Java; familiarity with DevOps practices; and good communication skills for interdisciplinary research in a federal laboratory setting. Location: NIST Campus, Gaithersburg, MD, United States. Application: Use the provided application link to review and submit your materials. No deadline was stated in the post. This is a strong fit for candidates interested in mechanical engineering , computer science , and environmental science applications in building systems and public health.

Assistant Research Physicist (PREP Research Associate) in Quantum Sensing and Color Center Spectroscopy at the National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, in collaboration with George Washington University. This opportunity is centered on quantum sensing , optical spectroscopy , and the study of optically active defects / color centers in wide-bandgap semiconductors. The selected researcher will join the Nanoscale Spectroscopy Group to conduct experiments on single-photon emitters and to control their emission using optical and magnetic methods. The work includes high-resolution spectral characterization of NV centers in diamond and investigation of emerging color centers in materials such as GaN, Si, and SiC. The role is strongly hands-on and lab-focused. Responsibilities include building, aligning, and maintaining custom optical setups; safely operating lasers; automating instrument control; writing Python scripts and data acquisition routines; and analyzing spectroscopy datasets. The position also involves probing spin-based emission, time-resolved detection, and nanoscale optical properties under supervision, with opportunities to collaborate with spectroscopists and materials chemists and contribute to peer-reviewed publications. Eligibility highlights: a bachelor’s degree in Physics, Chemistry, Electrical/Optical Engineering, or a related field; at least 2 years of relevant laboratory experience; familiarity with solid-state color centers; and proficiency with Python or similar scripting languages. Experience with optical spin resonance, cathodoluminescence, Raman, or UV-vis spectroscopy is a plus. Location: NIST Campus, Gaithersburg, MD, United States. Application: Apply through the provided link. No deadline was stated in the post.

Postdoctoral Fellow opportunity at the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, in collaboration with George Washington University. The project is titled Metrology for Integration of New Magnetic Materials and sits within the CHIPS Act framework, supporting next-generation U.S. semiconductor manufacturing. The research focuses on modeling magnetic materials for next-gen semiconductors , especially at the frontier of microelectronics operating from 1 MHz to 100 GHz. This postdoc is designed for candidates with a Ph.D. in Applied Mathematics , Physics , or a closely related quantitative field. The work emphasizes multiscale computational modeling, including partial differential equations, ordinary differential equations, stiff systems, and Maxwell's equations. The successful candidate will develop mathematical methods that connect sub-micron micromagnetic models to device-scale experimental measurements. Responsibilities include algorithm and software development in C++ , MATLAB , and Python , as well as close collaboration with experimentalists to validate models against semiconductor benchmarks. The role also involves documenting and archiving protocols and codebases for broader NIST and CHIPS Act stakeholders. This is a research-intensive postdoctoral opening in physics , mathematics , electrical engineering , materials science , and computer science related to magnetic materials, microelectronics, and metrology. Location: NIST Campus, Gaithersburg, MD, United States. Application: use the provided link to review and submit your application.

George Washington University and NIST are seeking a part-time PREP Research Associate for human-centered digital identity research in Gaithersburg, Maryland. The project focuses on digital identities , mobile driver’s licenses (mDLs) , and digital wallets , with an emphasis on how user mental models, privacy concerns, and security perceptions shape adoption and trust. The selected researcher will join the Human-Centered Technologies Group and contribute to studies that help establish human-centered metrology for secure, private, and accessible digital identity systems. This is an opening for a current Ph.D. student who has completed at least two years of doctoral study and has at least one year remaining. Preferred backgrounds include HCI/HCC , Information Science , Human Factors , or Cybersecurity . Applicants should also have prior research, coursework, or publications related to mDLs, digital wallets, or digital identity, plus experience with both quantitative and qualitative human-subject research. Responsibilities include designing and conducting human-subject studies, surveys, and interviews; applying mixed-methods analysis; synthesizing literature; and co-authoring technical reports and peer-reviewed papers. The role is part-time and based at the NIST campus in Gaithersburg, MD. No deadline, stipend, or tuition details are stated in the post. Interested candidates should use the application link provided and follow the instructions in the posting.

Post-doctoral fellowship opportunity in digital twin frameworks for the built environment and smart infrastructure at the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, in collaboration with George Washington University . The project focuses on creating an assessment framework for vendor-offered digital twin solutions, with emphasis on maturity evaluation , value assessment , data quality , and open-standard compliance . The work is aimed at supporting standardized procurement and deployment guidelines for buildings and infrastructure, contributing to national-level standards for cyber-physical systems and smart cities. Research interests and technical areas mentioned include computer science , systems/structural engineering , manufacturing , open-source tools , open-data standards , IFC , CityGML , and W3C digital twin ontologies . The role involves framework architecture, procurement standardization, standards alignment, and strategic roadmapping with industry and interdisciplinary stakeholders. Eligibility highlights: applicants should hold a Ph.D. in a relevant field and demonstrate experience with digital twin applications for buildings. A research proposal is required as part of the application. Application: use the provided application link and prepare the required research proposal. No deadline was stated in the post.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Fellow for Nanocalorimetry Sensor Design and Fabrication in Gaithersburg, Maryland. This opportunity sits at the intersection of materials science , physics , chemistry , chemical engineering , and MEMS sensor design . The project focuses on fabricating chip-scale sensors for measuring thermodynamic properties in ultra-thin films, with applications in thin-film materials characterization and in-situ monitoring of high-energy semiconductor plasmas. The role offers end-to-end ownership of sensor development, including CAD modeling , multiphysics simulation using FEA/Abaqus , cleanroom photolithography, etching, thin-film deposition, and characterization with tools such as Laser Doppler Vibrometry , optical profilometry, and SEM. Applicants should hold a Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, or a related field. Strong hands-on cleanroom experience and a solid background in thermal analysis and calorimetry are emphasized. Solidworks experience is preferred. The position is funded under the CHIPS Act ecosystem and is based at the NIST Campus in Gaithersburg, MD . The post also notes that this federal project requires passing a Department of Commerce security screening . Interested candidates should apply through the linked posting and review the technical and security requirements before submitting materials.

Post-doctoral fellowship opportunity in Digital Twins , smart infrastructure , and the built environment at the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, in collaboration with The George Washington University . The project focuses on developing an Assessment Framework for Digital Twins that can evaluate the maturity, value, data quality, alignment, and interoperability of vendor-offered digital twin solutions. The work is positioned as an important step toward national standards and procurement/deployment guidelines for cyber-physical systems in smart buildings and infrastructure. Research themes include framework architecture , procurement standardization , open standards alignment , and strategic roadmapping . The post highlights familiarity with standards and technologies such as IFC , CityGML , and W3C digital twin ontologies , as well as open-source tools and open-data standards for the built environment. Eligibility: applicants should hold a Ph.D. in Computer Science , Systems/Structural Engineering , Manufacturing , or a related field. The post also asks for demonstrated ability to develop and deploy digital twin applications for buildings, and requires submission of a research proposal with the application. Location: NIST Campus, Gaithersburg, MD . Funding details are not specified in the post, but the role is advertised as a post-doctoral fellow position. Apply using the provided link and include the requested research proposal and any other materials listed in the application portal.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Post-Doctoral Fellow for research on battery fires, thermal runaway, fire protection engineering, heat transfer, and computational fluid dynamics . The position is based at the NIST Campus in Gaithersburg, Maryland, USA . The project focuses on characterizing rechargeable battery fires, especially the ignition behavior, radiative heat transfer, and total heat release rate (HRR) of lithium-ion batteries transitioning into thermal runaway. The work is aimed at generating empirical datasets that can validate predictive CFD models and support federal standards for consumer and industrial battery hazards. Research activities include bench- and large-scale fire experiments, cone calorimetry, radiant panel testing, custom burn chambers, and high-speed sensor metrology. The fellow will collect and analyze data from heat flux gauges, radiometers, infrared thermal cameras, thermocouples, and National Instruments DAQ systems, using Python and MATLAB pipelines. Modeling responsibilities include simulation with FDS (Fire Dynamics Simulator) or FireFOAM to study multi-phase heat transfer and gas-phase combustion. The role is especially suited to candidates with a Ph.D. in Fire Protection Engineering, Mechanical Engineering, Aerospace Engineering, Chemical Engineering , or a closely related field. Eligibility highlights include strong experimental expertise in convective/radiative heat transfer, cone calorimetry, CFD fire modeling, and hardware familiarity with data acquisition systems and sensors. The post states that the Ph.D. must be completed by the start date. No deadline, stipend, or funding package is specified in the post. Interested applicants should use the application link provided in the post and prepare materials demonstrating relevant experimental and modeling experience.

George Washington University and the National Institute of Standards and Technology (NIST) are recruiting a Post-Doctoral Fellow for Indoor Air Quality Emission Measurement in Gaithersburg, Maryland. This opportunity sits at the intersection of Environmental Science , Chemistry , Chemical Engineering , Earth Science , and Computer Science . The project focuses on what happens after wildfire smoke impacts homes and buildings: toxic volatile organic compounds (VOCs) can be absorbed into building materials and furnishings and later re-emit as secondary hazards. The successful candidate will work with field-scale wildfire smoke exposure events, selecting and placing test furnishings and structural materials during active events, then transferring samples to laboratory environmental chambers for controlled emission testing. A major part of the role involves operating high-resolution Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-MS) systems to capture real-time emission rates and chemical kinetics. In addition to experimental work, the fellow will develop custom data analysis tools to process large, continuous mass spectrometry datasets into usable kinetic profiles. The post is especially suitable for an analytical chemist or environmental engineer with hands-on experience in emission testing, PTR-MS instrumentation, and chamber-based measurements. Eligibility highlights: Ph.D. in Environmental Engineering, Chemistry, Atmospheric Science, or a related field; at least 1.5 years of emission testing experience; demonstrated PTR-MS and environmental chamber expertise; and strong scripting/data-processing skills. Location: NIST Campus, Gaithersburg, MD, United States. Application: Apply through the linked posting. No deadline was stated in the post.

George Washington University and the National Institute of Standards and Technology (NIST) are seeking a Senior Research Fellow (or Faculty Member) to help modernize the NIST Community Resilience Guides in Gaithersburg, Maryland, with hybrid potential. This opportunity is centered on urban planning , civil/structural engineering , systems engineering , community resilience , climate adaptation , and disaster policy . The selected candidate will lead a two-phase technical overhaul of the NIST Community Resilience Planning Guide and Playbook, including a new chapter connecting urban design with structural community resilience and an audit of how cities use predictive models, planning frameworks, and data tools to address future natural hazards. The role is especially suited to a senior specialist with experience working with municipal officials, community engagement, multi-hazard decision-making, and modeling future environmental stressors. Strong peer-reviewed publication record and the ability to translate technical risk concepts for non-technical audiences are emphasized. Applicants are asked to submit a 1–2 page Statement of Interest highlighting municipal/resilience capabilities along with a CV . The post does not mention a deadline or funding package. Announcer: David Broniatowski , Professor of Engineering Management and Systems Engineering at George Washington University.

Post-Doctoral Fellow in Wildland-Urban Interface Fire Smoke Simulation and Experimentation at the National Institute of Standards and Technology (NIST) in Gaithersburg, Maryland, United States. This opportunity is focused on wildland-urban interface (WUI) fires , wildfire smoke , indoor air quality , multizone modeling , and building airflow simulation . The project is a collaboration involving The George Washington University and NIST , and it aims to generate accurate data on how smoke infiltrates residential buildings and emergency fire shelters. The successful candidate will work on physical laboratory experiments and computational modeling using NIST CONTAM indoor air quality software. Research tasks include full-scale smoke campaigns, evaluating remediation and filtration techniques, running multizone simulations for fire shelters, reconstructing indoor exposures during historic wildfire events, and installing/calibrating IAQ instrumentation arrays in experimental test houses. Preferred background includes a Ph.D. in Mechanical Engineering, Fire Protection Engineering, Environmental Engineering, or a closely related field . Applicants should have hands-on experience with building project files and multizone simulations in CONTAM, as well as experience with IAQ sensors, gas analyzers, and particulate counters. This is a postdoctoral opening, not a scholarship. The post does not mention funding details or a deadline. Interested applicants should use the provided application link to review the role and submit their application.

George Washington University and the National Institute of Standards and Technology (NIST) are advertising a Senior Research Fellow in Advanced Photonics focused on solving semiconductor warpage problems under the CHIPS Act initiative. The project sits at the intersection of Physics , Materials Science , Chemistry , Electrical Engineering , and Computer Science . The research aims to understand and control stress, curing dynamics, and viscoelastic behavior in polymeric binding materials used in heterogeneous integration and advanced microelectronics packaging. The successful candidate will design and automate custom optical microscopy and spectroscopy systems, including Brillouin scattering , low-frequency Raman scattering , and fluorescence lifetime imaging (FLIM) . The role emphasizes instrumentation engineering, polymer physics metrology, lab automation, and data analysis using Python. This is a research fellow opening at the NIST campus in Gaithersburg, Maryland, United States. The post explicitly seeks a Ph.D. physicist or materials scientist with strong experimental expertise in optical spectroscopy, imaging, and custom instrument development. Experience with FLIM in both time-domain and frequency-domain methods is highlighted, along with the ability to build automated acquisition and analysis pipelines. Responsibilities include building high-resolution optical setups, measuring viscoelastic properties and cure kinetics of complex polymers and interfacial layers, coordinating collaborations, mentoring junior researchers, and publishing in high-impact journals. No deadline, salary, or tuition funding details are provided in the post. Interested applicants should use the linked application page and prepare evidence of relevant Ph.D.-level research experience, spectroscopy expertise, and Python-based automation skills.

George Washington University and the National Institute of Standards and Technology (NIST) are recruiting a Post-Doctoral Fellow for Thermal 3D Magnetic Imaging of Advanced Semiconductor Packages through the NIST Professional Research Experience Program (PREP). This opportunity focuses on Magnetic Particle Imaging (MPI) for non-invasive thermal mapping inside vertically stacked semiconductor packages, where conventional infrared or optical tools cannot access internal hotspots. The project combines physics , materials science , electrical engineering , and computer science in a highly interdisciplinary research environment. The successful candidate will help design and build custom high-sensitivity magnetic microscopes, develop sensor and electronics hardware, create digital acquisition controls, and write Python-based image reconstruction and visualization software. The role also includes machine-learning-driven thermal classification, automation scripts for nanoparticle tracer synthesis profiles, and experimental work on packaged semiconductor test devices. Eligibility highlights include a Ph.D. in Physics, Physical Chemistry, Materials Science, Engineering, or a closely related field, plus 3 years of relevant research experience. Applicants should have hands-on experience with custom electronic, magnetic, or optical instrumentation and familiarity with CAD tools such as SolidWorks or Autodesk Inventor. Strong programming skills in Python, MATLAB, or LabVIEW are important. The post is based at the NIST campus in Gaithersburg, Maryland, United States. No deadline, stipend, or salary details are stated in the post. Interested candidates should use the application link provided and review the role requirements before submitting.

George Washington University and the National Institute of Standards and Technology (NIST) are hiring a PREP Research Associate / Research Engineering Technician for a CHIPS Act project in nondestructive defect detection metrology . The role is based at the NIST campus in Gaithersburg, Maryland, and focuses on advanced microelectronics, especially 3D packaging and heterogeneous integration . The selected candidate will help develop standard physical reference artifacts and simulated benchmark datasets that support the evaluation of deep-learning image segmentation methods across the domestic semiconductor supply chain. Core research and technical areas include X-ray computed tomography (XCT) , X-ray laminography , focused ion beam (FIB) , scanning electron microscopy (SEM) , 3D CAD modeling of hardware flaws, XCT physics simulations, volumetric image reconstruction, and Python-based automation for data processing and image cleaning. Eligibility highlights: a bachelor’s degree in Physics, Materials Science, Electrical Engineering, Mechanical Engineering, or a related field; plus 5+ years of relevant laboratory experience in microscopic or tomographic characterization. Applicants should have strong experience with XCT reconstruction, image processing, FIB/SEM sample preparation, and digital image segmentation. This is a job-style research opening rather than a scholarship or degree program. The post does not mention a deadline or funding package, but it does provide a direct application link. Interested candidates should review the posting and apply through the linked application portal.

Shaping National Standards: Ph.D. Fellowship in Human-Centered Cybersecurity at the National Institute of Standards and Technology (NIST) , in collaboration with The George Washington University . This opportunity is for a current Ph.D. / doctoral student to join the Human-Centered Cybersecurity (HCC) Program at NIST in Gaithersburg, Maryland, with possible hybrid work. The role sits at the intersection of cybersecurity , human factors , information science , qualitative research , and socio-technical systems . The selected research associate will work with NIST researchers to analyze human-subjects survey and interview data, conduct thematic qualitative coding and statistical analysis, map user behavior and organizational constraints to NIST cybersecurity frameworks, and help process public and industry comments on upcoming federal guidelines. The work also includes supporting workshops and co-authoring technical reports, papers, and presentations. Eligibility highlights: applicants should be enrolled in Computer/Information Science, Human Factors, Social Science, Organizational Leadership, or a related field, with at least one year remaining in the Ph.D. program. Prior research or work experience in cybersecurity and direct human-subjects research experience are required, and qualitative coding experience is preferred. Strong writing and data visualization skills are emphasized. Funding: the post is a PREP Research Associate opportunity through NIST PREP, but no stipend amount or tuition details are provided. Application: use the provided application link to apply. No deadline is stated in the post.

George Washington University, via the NIST Professional Research Experience Program (PREP), is recruiting a Post-Doctoral Fellow for Seismic Steel Design for Functional Recovery at the National Institute of Standards and Technology in Gaithersburg, Maryland, United States. The project sits at the intersection of civil engineering , structural engineering , earthquake engineering , mechanical engineering , materials science , and computational mechanics . The successful candidate will work with leading seismic experts to move beyond collapse prevention toward resilience-based functional recovery for steel buildings after major earthquakes. Research tasks include building high-fidelity nonlinear finite element models of steel components such as beam-column connections and braced frames, calibrating and validating models against experimental seismic datasets, running nonlinear dynamic analyses on building archetypes, and translating results into technical design guidance and future seismic code and policy metrics. Eligibility highlights include a Ph.D. in Civil Engineering with a strong focus on the behavior, mechanics, and design of steel structures, demonstrated experience in experimental testing of structural steel, nonlinear analysis of steel systems under high-strain seismic loads, proficiency with advanced finite element software, and scripting skills in Python or MATLAB . A strong publication record in structural engineering journals is also expected. This is a postdoctoral opening rather than a scholarship or degree programme. The post does not specify a deadline or detailed funding package, but it is presented as a professional research experience opportunity at NIST.

George Washington University and the National Institute of Standards and Technology (NIST) are advertising a Post-Doctoral Fellow opportunity focused on robotic AI , human-robot interaction , and the performance evaluation of AI capabilities in autonomous systems . The role is connected to the NIST Professional Research Experience Program (PREP) and the MSRAS Program at NIST in Gaithersburg, Maryland . The successful candidate will work on measurement science for robotics, including benchmarking deep learning, reinforcement learning, and large language models (LLMs) embedded in robotic systems. The project emphasizes safety, predictability, transparency, and risk awareness for autonomous robots operating near humans. Research themes include AI capability benchmarking , human intent prediction , behavior classification , state estimation , symbolic spatial relation models , digital twins , physical testbeds , sensor fusion , motion capture , and explainable AI (XAI) . The post also highlights algorithmic auditing for automated sorting, ranking, and navigation methods, with the goal of establishing standards for safe human-AI collaboration in production environments. Applicants should hold a Ph.D. in Computer Science , Modeling & Simulation Engineering , Aerospace Engineering , or a closely related quantitative field. Strong technical skills in Python , C/C++ , ROS , PyTorch/TensorFlow , and 3D rendering/CAD are expected, with additional experience in AI planning , path planning , activity/intent recognition , XAI , and human-in-the-loop validation preferred. This is a research fellowship/postdoctoral opening rather than a scholarship. The post does not mention a deadline or funding amount, but it does provide a direct application link. Interested candidates should apply via the linked portal and review the application page for any further instructions or required documents.

George Washington University and the National Institute of Standards and Technology (NIST) are advertising a Post-Doctoral Fellow opportunity in statistical measurement science , forensic transparency , and biology through the NIST Professional Research Experience Program (PREP). The project focuses on making algorithmic forensic claims more transparent, traceable, and understandable. The successful candidate will study how automated forensic comparison software and biological cell-viability systems perform under changing data quality and environmental conditions, including issues such as scratched or corroded cartridge cases and other sources of variability. Research topics include uncertainty quantification , non-parametric statistics , hierarchical mixed-effects modeling , Bayesian inference , Stan , MCMC , and performance assessment using ROC/AUC and related classification metrics. The role also involves designing statistical experiments, apportioning sources of variability, and building interactive explanatory tools and dashboards in Python or R . Applicants should have a Ph.D. in Statistics or a closely related quantitative field . Strong preparation in non-parametrics, ANOVA, statistical decision theory, time series, and classification assessment is requested, along with fluency in Python and/or R, Git, and Stan. The position is located at the NIST campus in Gaithersburg, Maryland, United States . The post does not mention a deadline or funding amount, but it is presented as a postdoctoral research appointment. Interested candidates should use the provided application link to apply.

George Washington University, through the NIST Professional Research Experience Program (PREP), is recruiting a Post-Doctoral Fellow in Quantum Network Science and Timing Metrology at the NIST campus in Gaithersburg, Maryland. This opportunity focuses on quantum network science , timing metrology , quantum synchronization , quantum internet , FPGA firmware , single-photon detection , and related experimental quantum technologies. The selected fellow will work on an active metropolitan quantum network testbed with multiple nodes and dark-fiber links, developing synchronization methods that can hold node jitter to sub-10 picosecond precision. Core responsibilities include implementing and stress-testing synchronization protocols over real-world metropolitan fiber loops, programming FPGA-based digital logic for time-stamping single-photon arrivals, characterizing detectors and sources, and building Python/MATLAB automation tools for network control and synchronization management. Applicants should have a Ph.D. in Physics, Electrical Engineering, Quantum Information Systems (QIS), or a closely aligned field. Strong hands-on FPGA experience is highly desired, along with laboratory automation skills in Python or MATLAB and a background in single-photon sources, detectors, and precision measurement. The post does not mention a stipend amount, funding package, or application deadline. Interested candidates should use the provided application link and follow the instructions in the announcement.

Post-Doctoral Fellow opportunity in Statistical Analysis and Tool Development for GenAI Evaluation & Watermarking Metrology at the National Institute of Standards and Technology (NIST) , supported through the George Washington University and the NIST Professional Research Experience Program (PREP). This position focuses on the statistical backbone of NIST’s GenAI evaluation work, including the development of NIST-CARAT (Calibrated Risk Assessment Tool for authentication technologies). The role is centered on statistics , Bayesian modeling , uncertainty quantification , ROC/EER/Brier score analysis , and Bayes-risk characterization for evaluating watermark robustness and content quality trade-offs across text, image, voice, video, and code. The post emphasizes building reproducible, containerized data pipelines and analytical tools that can support policy and standards work related to AI provenance, deepfake detection, and watermark compliance thresholds. The work also includes translating statistical findings into white papers and technical submissions for international standards bodies such as ISO/IEC. Eligibility highlights: a Ph.D. in Statistics, Biostatistics, or a closely related highly quantitative field; strong experience with experimental design and classification metrics; proficiency in R or Python; shell scripting; Docker; workflow tools such as Argo Workflows; and dashboard/interactive visualization tools such as R Shiny. Funding: the post is a postdoctoral fellowship/research appointment through NIST PREP, but no stipend or salary amount is stated in the post. Location: NIST Campus, Gaithersburg, Maryland, United States. Application: use the provided application link to apply. No deadline is stated in the post.