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a postdoctoral associate to develop methods and metrics for evaluating how consultation with large language models affects analytical work products and team interaction patterns in complex information
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, 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
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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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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, computer science, or a closely related field. Coding experience for the computational modeling of physical and/or engineered systems, preferably with finite-element methods, is a must. Strong programming