Post-Doctoral Fellow in AI-Driven Indoor Air Quality Modeling for CONTAM Development George Washington University in United States

Post-Doctoral Fellow in AI-Driven Indoor Air Quality Modeling at George Washington University and NIST in Gaithersburg, Maryland.

This opportunity sits at the intersection of Mechanical Engineering, Computer Science, Environmental Science, and Physics. The project focuses on using AI to support development of CONTAM, NIST’s building airflow and contaminant transport simulation tool. The selected researcher will help bridge building physics and artificial intelligence by developing agent-based AI methods that can automatically generate, modify, and exercise CONTAM building models.

Core work includes leveraging newly released CONTAM APIs for large-scale automated simulations, building reproducible research workflows with Git and CI/CD pipelines, and contributing software in Python, C, C#, or Java. The role is aimed at advancing indoor air quality assessment, building environmental design, and public health/energy-efficiency applications.

Eligibility highlights: a Ph.D. in Mechanical Engineering or a related field, strong programming skills, familiarity with agent-based AI, and DevOps experience.

Application: use the linked application page in the post. No deadline was stated in the post.