8 machine-learning Postdoctoral positions at University of Central Florida in United States
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The Opportunity: The Post Doctoral Scholar will be part of a collaborative initiative between the Department of Electrical and Computer Engineering at the University of Central Florida (UCF) and
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-level understanding of kinetics in solid-solid phase transitions; Develop advanced machine learning methods for the fast prediction of materials properties; Publish results in peer-reviewed journals and
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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for energy yield prediction. - Develop models for performance loss rate analysis. - Conduct time series analysis and apply machine learning techniques to assess PV and energy storage system performance
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Engineering is seeking a highly motivated Postdoctoral Scholar to contribute to cutting-edge research in the development of Machine Learning and Artificial Intelligence (ML/AI) algorithms tailored for Space
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catalysis laboratory led by Prof. Kattel. We seek candidates with experience in developing and using machine learning potentials (combined with DFT) to study the behavior of catalysts under reaction
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evolution via a novel approach that combines atmospheric modeling and machine learning techniques. The qualified candidate will work with Prof. Ramses Ramirez and colleagues on a project to simulate and make
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quantification and optimization of systems design and process synthesis • Machine learning, Reinforcement learning and AI applications in energy systems The candidate will work closely with FSEC’s industry partner