Postdoctoral researcher
Project
PREP0004606
Overview
The work will entail:
Identifying and developing AI-based methods to generate and exercise CONTAM building models.
Indoor Air Quality Modeling – Artificial Intelligence to Support CONTAM Model Development
Qualifications
- Ph.D. in Mechanical Engineering, or a related field
- Familiarity with multiple programming languages, e.g., C, C#, Python, or Java
- Familiarity with Git DevOps and CI/CD pipelines
- Familiarity with developing and applying agent-based AI
- Strong oral and written communication skills
Research Proposal
Key responsibilities will include, but are not limited to:
- Gain familiarity with the use of existing CONTAM IAQ modeling software
- Gain a strong understanding of the newly developed CONTAM APIs
- Apply CONTAM APIs to generate, modify, and perform simulations on CONTAM Project files
- Develop AI-based methods to generate CONTAM building models
NIST Sponsor
William Stuart Dols
Group
Indoor Air Quality and Ventilation Group
Salary / Hourly Rate {Min}
$70,000.00
Schedule of Appointment
Full time
Start Date
Sponsor email
Work Location
Onsite NIST (Gaithersburg, MD)
Salary / Hourly rate {Max}
$90,000.00
Total Hours per week
40
End Date