-
) are looking to hire a post-doctoral associate to carry out joint research in resilience of neural networks, including large language models (LLMs) and other generative AI systems and foundation models
-
, particularly in the domain of Positioning, Navigation, and Timing (PNT). The research aims to generate and evaluate the quality of synthetic PNT data created using pre-trained foundation models (FMs) such as
-
to the efficient simulation of natural and engineered systems. The position is based in Utica, NY. The successful candidate will have a doctoral degree in applied mathematics, physics, electrical engineering
-
, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a language in the C family. Ability and a strong desire to work in a
-
a doctoral degree in electrical engineering, physics, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced command of Python and a
-
. The successful candidate will have a doctoral degree in electrical engineering, physics, computer science, or applied mathematics, and superb computer programming skills. Recommended skills include an advanced
-
conditions on freezing rain and its influence on structural ice load standards in the U.S. The successful candidate will work with cutting-edge climate data, environmental hazard modeling, and structural
-
-summaries/UUP-FT-Benefits-at-a-Glance-Jan-2025.pdf Salary: $60,000 - $65,000/Annually Requirements: Minimum Qualifications: Candidates for this position must hold a PhD A strong record of peer-reviewed