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at the convergence of artificial intelligence (AI) and physics. The ideal candidate should possess expertise in physics-informed/constrained machine learning—topics including, but not limited to: Physics-informed
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departments and institutes across UVA, such as Psychology and the Brain Institute. Candidates must possess a terminal degree in computer science, neuroscience, psychology, engineering, physics, mathematics
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allocation for the Research Associate and full research, teaching, and administrative support. Physical Demands This is primarily a sedentary job involving extensive use of desktop computers. The job
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upon project need and performance. For additional information about the position, please contact Danielle Charette . For questions about the application process, please contact Margaret Weeks. For more
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/Resume Cover Letter Contact information for 3 references PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “R0055268". ***Please note that
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application process, please contact Rhiannon O'Coin, Senior Academic Recruiter, [email protected] . The selected applicant will be required to complete a background check prior to their first day of employment
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quality decision-making process. Our objective is to create a chemical transport/machine learning model framework that informs and incorporates community preferences in a timely manner and with evidence
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receive full consideration. The University will perform background checks on all new hires prior to employment. For questions about the position or application process, please contact Yelena Markazyan