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privacy-preserving and decentralized online learning methods deployed in converters/drives so that fleets of motor applications (e.g., pumps, fans, compressors) can self-quantify and aggregate flexibility
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relating to difficulties with equipment or test subjects. Suggests technical or procedural improvements in testing methods. Conducts literature searches related to research project. Performs other duties as
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INTRODUCTION The Electrical and Computer Engineering (ECE) Department and Eversource Energy Center (EEC) at the University of Connecticut (UConn) solicit applications for a tenure-track faculty
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Statistical Sciences FTE 1 FLSA Non-Exempt Scope of Job To perform complex clerical duties for a department. Responsible for the performance of clerical duties involving the application of complex work methods
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, geolocation and AI-enabled communication and networking systems. In these roles you will undertake research centered on the intersection of networking, communications, geospatial methods and machine learning
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conditions. Testing is performed at a professional level and may include all facets of pretransfusion testing using both automated and manual methods, routine and complex antibody identification, component
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AI and in silico methods (Ref. LISBOA2030-FEDER-00719600; 2023.18347.ICDT and DOI https://doi.org/10.54499/2023.18347.ICDT ), co-funded by Lisboa2030, Portugal2030 and by the European Union and by
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Collaborate with faculty and research affiliates on empirical and theoretical studies at the intersection of AI and machine learning methods, quantitative economics, international macrofinance, and economic
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or a related field AI expertise Experience with or strong interest in AI methods and computational modelling Affinity with one or more AI domains such as machine learning, computer vision, NLP, LLMs
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include battery systems, EV charging, and EV fleet optimization. We actively apply AI/ML in topics such as: battery state estimation, diagnostics, and prognostics charging demand forecasting and smart