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) 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
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-based and network analytic approaches, such as visibility graph analysis, to uncover latent patterns, detect anomalies, and characterize dynamical behavior. This position offers an exciting opportunity
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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. The appointment is for one year, renewable for a second year given the availability of funds. The focus is on fundamental properties of simulated neural networks, like neural scaling laws, as they manifest in
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neural networks, like neural scaling laws, as they manifest in metrics specific to robotics and impact robotics applications. The thrust of the research is multidisciplinary. The successful candidate will
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fundamental properties of simulated neural networks, like neural scaling laws, as they manifest in metrics specific to robotics and impact robotics applications. The thrust of the research is multidisciplinary
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-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
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defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation at the time of hire for review by the Research Foundation. The full text