David Broniatowski
2 months ago
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Master’s-Level Research Associate in AI and Indoor Air Quality Modeling at NIST National Institute of Standards and Technology in United States
Degree Level
Master's
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
National Institute of Standards and Technology

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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.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
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