Category: Job Description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. National Institute of Standards (NIST) Professional Research Experience (PREP) program invites applicants in support of research in fire hazard model development in commercial building environments. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Project Description:

The goal of this project is to reduce firefighter deaths and injuries due to flashover and to enhance firefighting safety and situational awareness in commercial building environments.

Flashover is an extreme fire event. When it occurs, there is a near-simultaneous ignition of most of the directly exposed combustible materials within a compartment. Due to the large heat release rate, gas temperatures increase rapidly and may exceed 800 °C. Rapid fire progression, such as flashover, is the number-two cause of firefighter deaths and injuries. Over the past 10 years, approximately 700 firefighters were killed and more than 200,000 were injured. Unfortunately, there are still no tools that firefighters can use to detect flashover, so they rely on their past experience using so-called flashover indicators that are difficult to recognize. For these reasons, researchers at NIST have been developing data-driven models that can be used to help firefighters predict the potential of flashover.

Existing modeling approaches cannot be used in real-time firefighting due to two major problems. The first problem is that the existing models are numerically inefficient for real-time applications. Even when high performance computing is being used, a single calculation takes more than 5 minutes. The second problem is that the fire scenarios being considered by these models are oversimplified. Sensors are assumed to work at extremely high temperatures and the fire locations and vent opening conditions are assumed to be well known. In real-life situations, however, sensors will fail and the inside conditions are never known. NIST has established a smart firefighting project to enhance firefighting safety and situational awareness by enabling real-time prediction of flashover conditions in commercial building environments. To reach this goal, the relationships of fire data, such as temperature, smoke, and species concentrations, and the effect of data quality, must be understood to use machine learning for effective real-time predictions.

Key responsibilities:

• Acquire fire data, including gas temperatures, smoke concentrations, and gas species concentrations from realistic fire scenarios in commercial building environments using CFAST Data Generation (CData). The scenarios include various arbitrary building structures, different fire locations, a wide range of burning items, various door and window opening conditions simulating fire events such as glass breakage and evacuation, and operational temperature limits for fire protection sensors to account for loss of sensor signals. The PREP researcher will be responsible for collecting fire data from realistic fire scenarios and will lead the study of data behavior.
• Develop an accurate and numerically efficient prediction model that can correlate flashover conditions to the corresponding temperature behaviors. The model not only needs to overcome the limitations of available fire data, but it must be generalized so that the model can be applied to any building structures without the need of prior knowledge of the building layout and interior conditions. The PREP researcher will be responsible for helping to develop the model and will lead in optimizing the model.
• Collaborate and coordinate our research with the existing fire research community which is focusing on fundamental studies of the onset of flashover, development of machine learning based models, integration of fire modeling into fire protection systems, etc. The purpose of this thrust is to use our data to reduce firefighter deaths and injuries due to flashover by supporting the development of data-driven modeling framework to enhance firefighting safety and situational awareness. The PREP researcher will help develop research plans and assist in the transfer of NIST research to stakeholders by participating in meetings, giving presentations, and preparing reports.

Desired qualifications:

• U.S. Citizen Preferred.
• A Ph.D. degree in Architecture and Civil Engineering, Safety Science and Engineering, Safety
• Engineering, Fire Protection Engineering, or similar field.
• Solid background on Fire Safety/Protection Engineering is preferred.
• Proficient in CData, CFAST, FDS.
• Proficient in Python, MATLAB, and R.
• Well-established publication record in Q1 SCI journals.
• Practical research experience in building recommendation systems and use of computer clusters.

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. National Institute of Standards (NIST) Professional Research Experience (PREP) program invites applicants in support of research in  life-cycle assessment and uncertainty quantification for forward-looking building design. 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.

Description of Work:

A research scientist is sought to support a project on life-cycle assessment and uncertainty quantification for forward-looking building design. Functional recovery design has emerged as a new design approach that aims to expedite building recovery and enhance community resilience to natural disasters. To harness its benefits, it is crucial to understand the long-term implications of this design approach. Life cycle assessment (LCA) is a method commonly employed to evaluate the lifelong impacts of a building. However, the impact of post-disaster repairs is not well integrated into building LCA practices. The lack of standardized methodologies and guidelines for incorporating seismic risk into LCA may hinder the ability of designers, owners, and policymakers to make informed decisions about building design. In addition, current building codes and standards are often inadequate for protecting assets against the changing frequency and severity of natural hazards. To address this, new standards (such as ASCE 7-28) are introducing chapters to account for projected changes in hazards like wind, tornadoes, and floods. However, these future conditions introduce significant aleatory and epistemic uncertainties that challenge traditional engineering design.
The research scientist will evaluate the impact of changing hazard conditions on design requirements and analyze the uncertainty of structural designs to prevent either overly conservative or underly cautious outcomes. This work will advance understanding of uncertainties in designing and retrofitting buildings, ultimately supporting the adoption of forward-looking building standards in the context of deep uncertainty. Additionally, the researcher will work to evaluate design trade-offs across the entire building life cycle. By quantifying how enhanced design reduces future damage, repair costs, and demolition impacts, this work will provide evidence for multi-objective performance targets in future
building standards.

Key responsibilities:

• Integrate natural hazard impacts, especially seismic risks, into the LCA framework for a comprehensive evaluation of building performance.
• Perform life cycle assessments (LCA) for reinforced concrete moment frame and shear wall buildings to demonstrate the impact of functional recovery design.
• Conduct a detailed review of methodologies, assumptions, and datasets referenced in building codes, standards, and provisions, specifically regarding hazard loads such as wind, flood, and snow.
• Quantify uncertainties related to future hazard changes in structural design requirements using the non-stationary reliability method to calibrate load and resistance factors.
• Apply performance-based assessment methodologies to conduct in-depth uncertainty analysis for buildings with high-performance requirements, such as hospitals.
• Review literature on reliability models for evaluating structural failure under hazard loads and draft content for publication.
• Document findings and collaborate with colleagues at NIST to publish research findings and results into NIST Technical reports and high-impact journal articles.

Desired qualifications:

• U.S. Citizen Preferred
• A Ph.D. in Civil Engineering (focus on Structural Engineering preferred).
• Extensive experience in building life cycle analysis (LCA) and quantifying the impacts of building construction and repair.
• Strong background in economics, structural engineering, risk assessment for various hazards, and performance-based earthquake engineering.
• Demonstrated expertise in benefit-cost analysis and uncertainty quantification (UQ).
• Excellent record of research and technical writing for both academic and practitioner audiences.
• Ability to work effectively both independently and as part of a multi-disciplinary, collaborative team to meet project milestones.

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. National Institute of Standards (NIST) Professional Research Experience (PREP) program invites applicants in support of decision-science for a circular economy. 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: Decision-Science for a Circular Economy

The position is in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life-cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions. AEO is integrated within EL’s major research thrusts. AEO delivers high quality research and tool development that informs and assists stakeholders in their decision-making processes.

The work will entail:

We are seeking an experienced post-doctoral researcher to produce rigorous, publication-quality research on consumer perceptions and preferences in two projects that focus on the circular economy. This role requires deep expertise in advanced survey methodologies, experimental design, and statistical modeling. The ideal candidate has a strong research publication record and experience managing large-scale surveys data. The two projects the post-doctoral associate will support are focused on consumer preferences for battery electric vehicle information and consumer preference for circular plastic products.

Key responsibilities will include but are not limited to:

• Design and implementation of quantitative research studies, including stated preference surveys and conjoint experiments.
• Apply advanced discrete choice models, latent class models, clustering techniques, to uncover heterogeneous preferences and segment-specific insights.
• Translate complex statistical outputs into clear, decision-relevant metrics such as willingness-to-pay, demand elasticities, and adoption likelihoods.
• Ensure analytical rigor consistent with peer-reviewed academic standards.
• Author and co-author peer-reviewed journal articles, conference papers and technical reports.
• Work collaboratively with an inter-disciplinary team of researchers.

Qualifications:

• Ph.D. in Economics, Engineering, or a related quantitative field
• Experience conducting applied survey research and quantitative analysis
• Demonstrated expertise in:
  • Survey design and implementation
  • Conjoint analysis and discrete choice modeling
  • Segmentation and clustering methods
• Strong publication record in peer-reviewed journals
• Proficiency in R and statistical modeling tools (e.g., Mplus, SPSS); experience with GIS or visualization tools is a plus
• Experience coding surveys in survey down or similar open-source survey tool
• At least 3 peer-reviewed publications
• At least one first authored peer-reviewed publication using survey data
• Excellent writing and communication skills
• Self-driven and capable of working independently with minimal supervision
• US Citizen Preferred

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. National Institute of Standards (NIST) Professional Research Experience (PREP) program invites applicants in support of research in integrated photonics and nanofabrication. 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 Integrated Photonics

The work will entail:

The National Institute of Standards and Technology (NIST) is seeking a highly motivated postdoctoral researcher with expertise in integrated photonics and nanofabrication to join the Fundamental Thermodynamics Group through the PREP program. You will contribute to the development of next-generation photonic integrated circuit (PIC)-based temperature sensors: a chip-scale device designed to transform precision thermometry. The role provides the opportunity to gain advanced experimental skills and research experience valuable for careers in academia, industry, or national laboratories.

Project details:

Temperature is one of the most widely measured physical properties and is essential across nearly all scientific and technological fields. To meet the growing need for precise, accurate, and field-deployable temperature metrology, our team is developing an on-chip photonic thermometer that functions as both a sensor and a deployable primary temperature standard. This self-calibrated device offers a transformative alternative to legacy resistance thermometers and has the potential to redefine how temperature is realized and disseminated worldwide.

Key responsibilities:

• Design, nanofabrication, characterization, and packaging of PIC-devices
• Development and refinement of PIC-based sensing applications
• Implementation and optimization of experimental setups for photonic and thermometric measurements
• Data analysis, modeling, and interpretation to evaluate device performance and guide design improvements

Opportunities for candidate:

• Work on cutting-edge nanophotonics research with real-world metrology impact
• Shape new research directions and contribute to emerging programs
• Collaborate with a multidisciplinary team of scientists and engineers
• Submit invention disclosures and patent applications
• Publish in leading scientific journals and present at technical conferences
• Access the state-of-the-art NIST NanoFab cleanroom facility (www.nist.gov/cnst)

Desired qualifications:

• U.S. citizenship is strongly preferred
• Ph.D. or equivalent experience in natural sciences, engineering, or related fields
• Innovative thinking and strong experimental skills
• Ability to work both independently and collaboratively
• Effective written and oral communication skills
• Prior hands-on experience in one or more of the following areas:
  • Micro-/nanofabrication
  • Integrated photonics design and characterization
• Applicants with strengths in PIC design, numerical simulations, or device-level metrology are encouraged to apply.

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. National Institute of Standards (NIST) Professional Research Experience (PREP) program invites applicants in support of optical frequency metrology. 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 Optical Frequency Metrology

The work will entail:

The National Institute of Standards and Technology (NIST) is seeking a highly motivated postdoctoral researcher with expertise in optical frequency metrology to join the Fundamental Thermodynamics Group through the PREP program. You will contribute to the development of next-generation integrated photonics-based temperature sensors: chip-scale devices designed to transform precision thermometry. The role focuses on laser-based interrogation, frequency locking, and frequency comb-enabled measurement techniques for field-deployable precision sensing. The position provides the opportunity to gain advanced experimental skills and research experience valuable for careers in academia, industry, or national laboratories. Based on the candidate’s experience, the position can be extended to a research scientist.

Project details:

Temperature is one of the most widely measured physical properties and is essential across nearly all scientific and technological fields. To meet the growing need for precise, accurate, and field-deployable temperature metrology, our team is developing an on-chip photonic thermometer that functions as both a sensor and a deployable primary temperature standard. This self-calibrated device offers a transformative alternative to legacy resistance thermometers and has the potential to redefine how temperature is realized and disseminated worldwide.

Key responsibilities:

• Development of advanced photonic readout methods for sensing applications, including:
  • Laser spectroscopy
  • Frequency locking techniques applied to nanophotonic systems
  • Optical frequency metrology methods for high-resolution measurements
• Implementation and optimization of experimental setups for photonic and thermometric measurements
• Data analysis, modeling, and interpretation to evaluate device performance and guide design improvements

Opportunities for candidate:

• Work on cutting-edge nanophotonics research with real-world metrology impact
• Shape new research directions and contribute to emerging programs
• Collaborate with a multidisciplinary team of scientists and engineers
• Submit invention disclosures and patent applications
• Publish in leading scientific journals and present at technical conferences

Desired qualifications:

• U.S. citizenship is strongly preferred
• Ph.D. or equivalent experience in natural sciences, engineering, or related fields
• Innovative thinking and strong experimental skills
• Ability to work both independently and collaboratively
• Effective written and oral communication skills
• Prior hands-on experience in one or more of the following areas:
  • Laser spectroscopy
  • Frequency locking and stabilization
  • Frequency combs
• Applicants with strengths in optical readout, laser systems, or frequency comb-based metrology are encouraged to apply.

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. National Institute of Standards (NIST) Professional Research Experience (PREP) program invites applicants in support of integrated photonic sensors and standards. 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: Researcher in Integrated Photonic Sensors and Standards

The Quantum Measurement Division’s Applied Electrical Metrology Group at NIST is seeking for a highly motivated researcher to support the development of next-generation integrated photonics-based thermal transfer standards. At NIST, you will gain research experience and measurement skills that are highly valuable for a career in academia, industry, or a national laboratory.

Project details:

We are developing the next-generation photonic integrated circuit (PIC) based ac-dc voltage transfer standard (PTTS). This chip-scale device combines a conventional ac-dc transfer standard technology and ultra-sensitive nanophotonic thermometry. By leveraging recent advances in nanofabrication, photonics, optical frequency metrology, and ac-dc difference measurements, the PTTS chip aims to exceed the metrological performance of conventional thermal transfer standards and overcome fundamental limitations of legacy technology.
Our research spans two complementary domains:
1. Integrated photonics: Design, fabrication, and characterization of novel PIC-based devices for sensing applications.
2. Optical frequency metrology: Development of new optical read-out strategies based on laser locking, spectroscopy, and frequency comb-based techniques for high-resolution optical readout and robust measurement solutions for the field.
We encourage applicants with expertise in either domain to apply. The position will be tailored to the candidate’s strengths and interests.

Key responsibilities (varied, based on candidate’s expertise):

• Development of new photonic readout methods for sensing applications
• Laser spectroscopy and frequency locking to nanophotonic systems
• Optical frequency metrology for nanophotonic applications
• Design, nanofabrication, and characterization of integrated photonic devices

The candidate will have the opportunity:

• Work on cutting-edge nanophotonics science and technology projects
• Play an active role in defining new research directions and programs
• Be a member of a multidisciplinary collaborative team of scientists
• Submit project-related invention disclosures and patent applications
• Publish in prestigious scientific journals and present at technical conferences

Desired qualifications:

• US Citizen Preferred
• Ph.D. or equivalent experience in natural sciences, engineering, or related fields
• Innovative thinking and the ability to conduct research both independently and collaboratively
• Hands-on experimental skills and a desire to develop new research capabilities
• Effective written and oral communication skills
• Prior hands-on experience in one or more of the following areas:
• Laser spectroscopy
• Frequency combs
• Integrated photonics
• Micro-/nanofabrication

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. National Institute of Standards (NIST) Professional Research Experience (PREP) program invites applicants in support of applied AI for economic systems science. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

The position is in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life-cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions. AEO is integrated within EL’s major research thrusts. AEO delivers high quality research and tool development that informs and assists stakeholders in their decision-making processes. The position will collaborate directly with the software development team in EL’s ELDST (Engineering Laboratory Data, Security, & Technology) that oversees AEO’s software development projects. Research Title is Performance and efficacy of machine learning and artificial intelligence implementation in economics and life cycle system science decision support

The work will entail:

We are looking for a computer scientist (US citizen preferred) to join our team in researching the performance and efficacy of machine learning and artificial intelligence (large language models – LLMs) across a variety of both research-oriented and public-facing software applications using standardized science-based metrics. The initial focus is on developing LLM-based outputs, and comparing their performance relative to manually developed outputs, including drafting annotated bibliographies and literature reviews, writing code, web applications that incorporate LLMs to enhance capabilities, and LLM-based web applications.

The ideal candidate will have a strong background in integrating LLM APIs, React, and front-end programming, and will be responsible for transforming models into usable APIs or integrated tools for production. They will also be responsible for monitoring, troubleshooting and enhancing model efficiency and scalability. The candidate should also be well versed in handling data preprocessing, and analysis for model training. The candidate should be aware of various prompt engineering techniques,
implementing intelligent prompt caching (e.g., Redis), understanding of vector stores (e.g., Pinecone), and efficient token management. The candidate should have knowledge of implementing AI security protocols, including guardrails and techniques to prevent prompt injection. The candidate should also have a working knowledge of RAG (Retrieval Augmented Generation). Additional research tasks may be assigned based on candidate’s skillset and priorities. Research Title is Performance and efficacy of machine learning and artificial intelligence implementation in economics and life cycle system science decision support.

Key responsibilities will include but are not limited to:

• Develop user interfaces for web application
• Assist with special software development projects as assigned
• Write and implement efficient code
• Document code and publish on GitHub
• Work closely with other developers
• Statistically compare performance across code and tool designs
• Draft manuscripts documenting the methodology and results

Qualifications:

• US Citizen Preferred
• Master’s degree in Computer Science or related field
• At least 2 years of professional experience
• At least 1 year as development team lead for at least one web application using the software stacks listed below
• Experience with state management in React (RxJS)
• Experience working on cloud technologies (AWS, Azure)
• Working knowledge of RAG (Retrieval Augmented Generation)
• Proficient with integrating one or more LLMs into applications (e.g., OpenAI, Gemini, Llama)
• Proficient with HTML, CSS, Typescript, React, and Python
• Proficient using any UI Component libraries (e.g., Ant Design, Material UI, etc.)
• Proficient with Node.js
• Working knowledge of building quick prototypes using Streamlit (or similar) and LLMs
• Proficient with JSON
• Proficient with Vite, Nginx, GitHub, Docker, and Portainer
• GPU programming or data visualization experience a plus
• Evidence of strong oral and written communication skills, including authorship on at least 2 technical publications)
• Strong logical thinking and problem solving
• Excellent attention to detail

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

The position is in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life-cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions. AEO is integrated within EL’s major research thrusts. AEO delivers high quality research and tool development that informs and assists stakeholders in their decision-making processes. Research Title is Life Cycle System Science of Materials and Engineered Systems.

The work will entail:

We are looking for a life cycle assessment (LCA) expert (US Citizen Preferred) to join our team in evaluating materials and engineered systems using life cycle system science. The position will collaborate with NIST researchers and NIST’s external collaborators in a variety of topics relevant to their work including economists, engineers, and scientists – connecting LCA to fundamental research, life-cycle analysis, and decision support tools related to activities across a range of research topic areas: building and infrastructure, energy, circular economy, resilience, and decision science. Initial activities will include developing and updating of LCA models for a variety of construction materials and building systems, semiconductors, microelectronics, and emerging technology recovery pathways, and engineered direct air capture technologies that will be published and maintained in repositories on the Federal LCA Commons.

Key responsibilities will include but are not limited to:

• Review, assessment, and improvements to NIST’s existing LCA data models and decision support tools
• Identify, quantify, and prioritize data gaps in product categories of interest to NIST
• Maintain and expand the Construction Materials and Building Systems repositories on the Federal LCA Commons
• Automate LCA model development workflow for transparency, repeatability, and efficiency
• Review, validation, and analysis of dynamic operational electricity LCA data
• Identify research and data gaps in current LCA-related activities at NIST
• Write research slide decks, reports, and/or journal articles
• Draft NIST research plan for increasing standardization and harmonization in LCA modeling
• Participate in ACLCA committees and sub-committees and LCA-relevant NIST consortia as appropriate

Qualifications:

• US Citizen Preferred
• PhD in Engineering, Environmental Science, or related field
• At least 10 years of experience in life cycle assessment research
• Experience with life cycle assessment of at least five of the following topics: chemicals, plastics, photovoltaics, batteries, carbon dioxide removal, semiconductors, microelectronics, concrete, other building materials, or whole buildings
• Extensive experience with OpenLCA and its developer tools, and public life cycle inventory (LCI) databases, including the Federal LCA Commons repositories and GREET suite of tools
• Experience developing and updating large LCI datasets
• Experience in solving complex LCA-related problems (i.e., long supply chains and production processes, and evaluation of multiple impact indicators and methods
• Excellent writing and communication skills
• Self-driven and capable of working independently with minimal supervision

Please upload the following (preferably in a single PDF) with your application:

• CV/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.

• Announcement and Application