University of California, Santa Barbara, Statistics and Applied Probability

Position ID: UCSBSAPP-VISITINGASSISTANTPROFESSOR [#16736, JPF01853]
Position Title: JPF01853-Visiting Faculty Positions in Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics
Position Type: Non tenure-track faculty
Position Location: Santa Barbara, California 93106-3110, United States [map] sort by distance
Subject Areas: Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics
Application Deadline: finished (2020/11/09, finished 2022/03/26, listed until 2021/09/22)
Position Description:    

*** this position has been closed. ***

The Department of Statistics and Applied Probability at UC Santa Barbara is searching for qualified candidates for multiple visiting faculty positions in the Department of Statistics and Applied Probability. Start date can be as early as April 2021 (Spring ‘21 academic quarter), although most hires will be for the 2021-2022 academic year (start date 7/1/2021). The positions come with the possibility of 2 years renewal for a potential total of up to three years.

The Department comprises 20 permanent faculty members, as well as more than ten visiting scholars, postdocs and lecturers. Our vibrant research atmosphere is driven by interdisciplinary research groups in Data Science, Biostatistics, Environmental Statistics, and Financial and Actuarial Mathematics (cfmar.pstat.ucsb.edu).

A full year Visiting Assistant Professor appointment carries a teaching load of 5 one-quarter courses per year. Departmental teaching includes upper-division undergraduate courses in statistics, probability, regression, time-series, statistical computing, stochastic processes, and mathematical finance.

Applicants must have completed all requirements for a PhD (or equivalent) except the dissertation, in Statistics, Applied Probability, Actuarial Science, Financial Mathematics or a related discipline, at the time of application and should have completed their PhD (or equivalent) by the time of appointment. Successful applicants will demonstrate or show strong promise for undergraduate teaching, collaborative research and synergies with UCSB Statistics and Applied Probability faculty.

Interested candidates should apply electronically by submitting a cover letter, CV, a statement of current and planned research, a teaching statement, and have three letters of reference sent via UC Recruit (at least one letter should describe teaching accomplishments).

Diversity, equity, and inclusion are core values at UC Santa Barbara. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. The department encourages all applicants to submit a Statement of Contributions to Diversity addressing past and/or potential contributions to diversity through research, teaching, and service.

Materials should be electronically submitted via UC Recruit: https://recruit.ap.ucsb.edu/JPF01853

Review will begin on December 12, 2020 and continue until positions are filled.

The Department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position. For more information about the Department please see http://www.pstat.ucsb.edu.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.


We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://recruit.ap.ucsb.edu/JPF01853 external link.
Contact: PSTAT Business Officer, 805-893-2129, (805)893-4867 (fax)
Email: email address
Postal Mail:
Dept. of Statistics and Applied Probability
South Hall 5607A
Mail Code - 3110
Santa Barbara, CA 93106-3110
Web Page: pstat.ucsb.edu