4 machine-learning-phd Fellowship positions at University of Texas at Austin in United-States
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differentiable programming and physics informed machine learning (Graph Neural Networks and Neural Operators) for solving inverse and optimization problems. Develop AI-accelerated numerical methods for identifying
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, neuroscience, engineering, or related discipline within the last 3 years Experience with either transcranial magnetic stimulation, digital signal processing, or machine learning Human subjects’ research
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, Python, R, and machine learning. Salary Range $58,744 + depending on qualifications Working Conditions Uniforms and/or personal protection equipment (furnished) May work around chemical fumes May work
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strong quantitative training in one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning and AI, (3) operations research and optimization