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Position: Visiting Faculty Positions in Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics
Institution: University of California, Santa Barbara
Location: Santa Barbara, California, United States
Duties: 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
Requirements: 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
   
Text: Skip to main content Recruit HomeOpen RecruitmentsVisiting Faculty Positions in Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics (JPF01853) Visiting Faculty Positions in Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics Apply now to Visiting Faculty Positions in Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics Job #JPF01853 College of Letters & Science - Mathematical, Life, and Physical Sciences - Statistics and Applied Probability Recruitment Period Open date: November 1st, 2020 Last review date: Friday, Jan 15, 2021 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Sunday, Oct 31, 2021 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Description 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. Job location Santa Barbara, CA Learn More More information about this recruitment: https://www.pstat.ucsb.edu/about/employment Requirements Document requirements Cover Letter Curriculum Vitae - Your most recently updated C.V. Statement of Research Statement of Teaching Statement of Contributions to Diversity - Statement addressing past and/or potential contributions to diversity through research, teaching, and/or service. (Optional) Misc / Additional (Optional) Reference requirements3-5 letters of reference required Apply now to Visiting Faculty Positions in Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics or Log in to your portfolio Need help? Contact the hiring department. The University of California Santa Barbara is an Equal Opportunity/Affirmative Action Employer. You have the right to an equal employment opportunity. For more information about your rights, see the EEO is the Law Supplement The University of California Santa Barbara is committed to providing reasonable accommodations to applicants with disabilities. 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