University of Texas at San Antonio
Just Landed
New Today
Postdoctoral Research in AI/ML for Engineering Applications at University of Texas San Antonio University of Texas San Antonio in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Dec 30, 2026
Country
United States
University
University of Texas at San Antonio

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Postdoctoral Research in AI/ML for Engineering Applications at the University of Texas San Antonio (UTSA), United States.
This postdoctoral opening is in NASA-funded research at the Institute of Scientific Research of Air Pollution, focusing on AI, Machine Learning, Large Language Models (LLMs), and Scientific Machine Learning for engineering applications.
Relevant study areas include Computer Science, Mechanical Engineering, Aerospace Engineering, and related fields. Strong programming skills in Python/C++ are required, and experience with PyTorch, Hugging Face, HPC, ROS, CFD, and Scientific AI is highly desirable.
The position offers a competitive salary and university benefits. Applicants must be eligible to legally work in the USA.
To apply, send a CV, cover letter, research statement, and contact details for three references to Prof. Kiran Bhaganagar at [email protected]. Review begins immediately and continues until the position is filled. Closure date listed: 2026-12-30.
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.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.