13 condition-monitoring-machine-learning Postdoctoral positions at University of Central Florida
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have expertise and experience in executing density functional theory (DFT) calculations, microkinetic modeling, kinetic Monte Carlo simulations, and Machine learning methods. Minimum Qualifications: Must
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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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on several NSF and NIH-funded projects focusing on metacognitive processes and self-regulated learning across learners, STEM, and biomedical learning tasks and domains, using serious games, simulations, and
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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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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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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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the new FROSTIE lab, aimed at investigating icy planetary surface processes under simulated planetary conditions. The postdoctoral scholar will have the opportunity to research icy geomorphological
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symbolic AI techniques to enhance machine reasoning and inference capabilities. - Publish findings in top-tier conferences and journals. - Manage research projects and support internal/external
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or engineering and have research expertise in optics, physics, chemistry, materials science, and spectroscopy. The Scholar will receive extensive technical and professional training and learn many