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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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for the computational analysis of classical, multi-physics, engineered systems. The appointment is for one year, renewable for a second year given the availability of funds. The focus is on integrating state-of-the-art
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experiments to test synthetic data quality, reliability, and resilience under corrupted or adversarial conditions. Participate in compiling and curating large-scale datasets for model training and benchmarking
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the associated models is within the scope of this job. The successful candidate will join a multi-disciplinary research team of engineers, physicists, and other faculty at SUNY Polytechnic Institute. The position