As part of UC Davis’ commitment to hire leading research faculty with an outstanding commitment to teaching, research and service that will promote the success of historically underrepresented and marginalized student communities and address the needs of our increasingly diverse state and student population, the College of Engineering announces several open tenure-track positions, at any level (assistant/associate/full) in the area of machine learning, natural language processing and machine vision in the Department of Computer Science.
https://recruit.ucdavis.edu/JPF03850 We seek candidates with potential or demonstrated excellence in research that complements or extends existing research strengths in the Department of Computer Science and elsewhere on campus, and the potential to attract extramural funding. We also seek evidence of, or potential for, commitment to the advancement of diversity, equity, and inclusion for historically underrepresented and marginalized student communities. Finally, we seek evidence of a commitment to excellence in teaching at the graduate and undergraduate levels. For fullest consideration applications must be completed by December 15, 2020; there is some possibility that applications that arrive as late as January 20, 2021 might be considered. Application packages should be submitted online at https://cs.ucdavis.edu/job-opportunities UC Davis is one of the top public universities in the nation. Davis, California, is a vibrant college town with excellent public schools and a Mediterranean climate, and many nearby opportunities for industrial and government collaboration, cultural activities and outdoor recreation. We encourage applicants to explore the University’s, College’s and Department’s websites. We strongly recommend that all candidates visit the UC Davis website dedicated to additional information about how application materials, including the Statement of Contributions to Diversity, Equity, and Inclusion, will be assessed carefully by the Search Committee in the screening and review process. Please contact the search chair Ian Davidson ([email protected]) for questions.
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