Visiting Assistant Professor, Statistics, University of California Santa Cruz

Mar 21, 2019

The Department of Statistics https://(Use the "Apply for this Job" box below). at the University of California, Santa Cruz (UCSC) invites applications for a Visiting Assistant Professor. We seek outstanding applicants whose research complements our existing strengths in the areas of Statistics and Data Science. We are particularly interested in candidates who have expertise in the formulation and application of modern statistical models and methods for the analysis of large-dimensional data, hierarchical models and related methods for the quantification of uncertainty using probabilistic tools.

Candidates should have a working knowledge of the theory and practice of modern statistical methodology that includes the formulation and application of statistical models for the analysis of data variability and the quantification of uncertainty using probabilistic tools. The successful candidate will be expected to develop and maintain research programs; to teach, mentor, and advise students at the graduate and undergraduate level individually and in the classroom;

to contribute significantly to graduate education; and, to perform university and professional service.

We welcome candidates who understand the barriers facing women and minorities who are underrepresented in higher education careers (as evidenced by life experiences and educational background), and who have experience in equity and diversity with respect to teaching, mentoring, research, life experiences, or service towards building an equitable and diverse scholarly environment.

The newly formed Department of Statistics is part of the Baskin School of Engineering. The department has been established by the Statistics group of the former Applied Mathematics and Statistics Department. The group has been present on campus since 2000, and has built a stellar reputation for its dynamism and innovation. Our graduate program has a steady throughput of professionals that perform brilliantly in academia, industry and government, and currently has about 40 students.

Research and instruction are supported by excellent facilities in the breathtaking environment of our campus. There are strong opportunities to collaborate with colleagues within the department as well as in the other existing programs in the School of Engineering, including Biomolecular Engineering, Computer Science and Engineering, Electrical and Computer Engineering, Computational Media, and Applied Mathematics, who work in a collegial and supportive environment.

More widely, our campus offers fertile grounds for scientific research in physical, biological and social sciences. Given the proximity of the campus to Silicon Valley, there are multiple opportunities for collaboration with investigators working on cutting edge science and engineering problems in institutions and companies in the area. Examples of these are NASA Ames, Lawrence Livermore National Laboratory, Sandia National Laboratory, National Marine Fisheries Service of NOAA, Google, e-Bay, and The Climate Corporation, among others.

The candidate will have the opportunity to leverage the positive environment of the statistics department to advance a professional focus on high quality teaching and cutting-edge research.

SALARY
Commensurate with qualifications and experience.

BASIC QUALIFICATIONS
– Ph.D. (or equivalent foreign degree) in Statistics or closely related field. It is expected that the degree requirement will be completed by June 30, 2019
– Demonstrated record of research and teaching

POSITION AVAILABLE
July 1, 2019 (with academic year beginning September 2019).Degree must be completed by June 30, 2019 for employment beyond July 1, 2019.

DURATION OF POSITION
Initial appointment will be full‐time for one year, with the possibility of reappointment. Should the hiring unit propose reappointment; a review to assess performance will be conducted. Reappointment is also contingent upon the availability of funding.

APPLICATION REQUIREMENTS
Applications are accepted via the UCSC Academic Recruit online system. All documents and materials must…