Assistant Professor - Statistical Data Science, University of California, Santa Cruz
The Department of Statistics at the University of California, Santa Cruz (UCSC) invites applications for a tenure-track position in Statistical Data Science at the Assistant Professor level. We are particularly interested in candidates with research expertise in statistical methods that incorporate model development integrating subject-matter information, computational-inference techniques, predictive approaches, optimal decision-making, and probabilistic quantification of uncertainty.
The Department of Statistics is part of the Baskin School of Engineering and has a stellar reputation for its dynamism and innovation in interdisciplinary research. Our graduate program has a steady throughput of professionals that perform brilliantly in academia, industry and government, and currently has about 40 students. Our school has nationally and internationally known researchers in many areas. UC Santa Cruz is a member of the AAU, an association of the top research universities in the US. Our campus is the nearest University of California campus to Silicon Valley and has close research ties with the local computer industry. Nestled in a redwood forest above the city of Santa Cruz, our beautiful campus has a long history of embracing groundbreaking interdisciplinary work. Our proximity to Silicon Valley, and our satellite campus there, afford opportunities and avenues for collaboration with researchers working in the many research and development labs in Silicon Valley, as well as with the other San Francisco Bay Area universities.
The successful candidate is expected to develop a research program, advise and mentor graduate students in their research area, obtain external funding, develop and teach courses within the undergraduate and graduate curriculum and contribute significantly to graduate education, perform university, public and professional service, and interact broadly with the large number of researchers in Silicon Valley industrial research and advanced development labs. The successful candidate should be able to work with students, faculty, and staff from a wide range of social and cultural backgrounds, genders, and sexual orientations.
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