The Department of Computer Science at the University of California at Davis invites applications for four tenure-track faculty positions, with a start date in Fall 2020. We seek candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service. We will consider candidates at all academic ranks, including recent PhDs.
We are particularly interested in hiring candidates in:
(1) All areas of machine learning
(2) All areas of theoretical computer science,
(3) Visualization and graphics,
(4) All areas of computer networks.
Exceptional candidates in other areas may be considered.
UC Davis is one of the top public universities in the nation, bringing in over $700 million annually in research funding. It includes a medical school, a law school, a school of management and the leading veterinary school in the country. The Department of Computer Science, part of the College of Engineering, has 39 faculty members and about 300 graduate students. Seven new faculty members in the last few years help create a vibrant and dynamic research environment.
Interdisciplinary research is fostered the UC Davis graduate group structure, which brings together faculty from different colleges and departments with related research interests and allows them to co-supervise students. Our location makes it easy to collaborate with industry in the San Francisco Bay Area, and with the State Government in Sacramento.
UC Davis has a strong track record of contributions to social mobility, with 44% of our undergraduates being first-generation students. We anticipate becoming a designated Hispanic Serving Institution in the near future. The campus commitment to sustainability leads the nation, with the goal of carbon neutrality by 2025.
Davis is a vibrant college town with excellent public schools and a Mediterranean climate, known for its many bicyclists. Our location provides ample opportunities for urban recreation in Sacramento and the Bay Area. Outdoor opportunities nearby include the Sierra Nevada mountains, the Napa Valley wine region, Lake Tahoe and the Pacific Ocean.
Applicants at the Assistant level should have received, or are about to receive, a doctoral degree in Computer Science or a related field. Candidates must have demonstrated excellence in research and a commitment to quality teaching. Applicants at the Associate or Full level should have a strong record of publications and research funding, consistent with their rank, and national recognition. Successful applicants will be expected to establish a top-quality research program and to teach both graduate and undergraduate courses.
We particularly value candidates who have experience working with students from diverse backgrounds and a demonstrated commitment to improving access to higher education for disadvantaged students.
Interested persons can find more information on all open positions in Computer Science at UC Davis, and instructions to apply at: https://www.cs.ucdavis.edu/blog/open-faculty-positions-in-computer-science/
Please apply at one of the links below:
Machine Learning: https://recruit.ucdavis.edu/JPF03254
Visualization and Graphics: https://recruit.ucdavis.edu/JPF03255
Applications should include a curriculum vitae, a personal statement addressing research, a teaching statement, and a diversity statement, three or four selected publications, and the names of three references.
Applicants’ track record of engagement and activity related to diversity, equal opportunity, and inclusion as well as their plans for future engagement, as described in the diversity statement, will be part of the overall evaluation of all candidates.
Review of completed applications will begin January 2, 2020. The position remains open until filled.
UC Davis supports family-friendly recruitments. UC Davis covers travel expenses for a second person to accompany an invited faculty recruitment candidate who is a mother (or single parent of either gender) of a breast or bottle-feeding child less than two years of age.
The UC Davis Partner Opportunities Program (POP)(https://academicaffairs.ucdavis.edu/partner-opportunities-program-pop) and Capital Resource Network (https://academicaffairs.ucdavis.edu/capital-resource-network) are services designed to support the recruitment and retention of outstanding faculty. Eligibility for POP services is limited, for full program details please visit the website. For questions regarding how these policies/programs affect academic appointees, contact Academic Affairs at: (530) 752-7643.
UC Davis recognizes the necessity of supporting faculty with efforts to integrate work, family and other work-life considerations. To recruit and retain the best faculty, the campus sponsors a Work-Life Program that provides programs and services that support faculty as they strive to honor their commitments to work, home and community (https://academicaffairs.ucdavis.edu/work-life).
We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community. For the complete University of California nondiscrimination and affirmative action policy see: https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction. If you need accommodation due to a disability, please notify us.
UC Davis is a smoke- and tobacco-free campus effective January 1, 2014. Smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes) are strictly prohibited on any property owned or leased by UC Davis — indoors and outdoors, including parking lots and residential space.
Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain positions funded by federal contracts or sub-contracts requir the selected candidate to pass an E-Verify check. More information is available https://www.e-