Postdoc and PhD Positions in Trustworthy AI and Digital Twins at University at Buffalo University at Buffalo in United States

The University at Buffalo is offering immediate openings for one Postdoctoral Researcher and one PhD student in the field of Trustworthy AI and Digital Twins, funded by the National Science Foundation (NSF). The research group, led by Dr. Danial Faghihi, focuses on developing methods-driven approaches in trustworthy artificial intelligence, digital twins, uncertainty quantification, and scalable algorithms. Applications of this research span healthcare, materials, and engineering systems, emphasizing rigorous computational methods over black-box machine learning.

Applicants should have strong programming skills and a solid background in applied mathematics, computer science, or computational engineering. The lab environment is highly collaborative, providing close mentorship and opportunities to interact with experts in applied mathematics, computer science, and domain sciences. Candidates must currently be based in the United States.

These positions are fully funded by NSF, though specific details about stipends or tuition coverage are not provided. Interested candidates should email Dr. Danial Faghihi with their CV and a brief statement of interest. This is an excellent opportunity for those interested in advancing research in trustworthy AI, digital twins, and related computational fields at a leading U.S. research university.