Visiting Faculty Positions in Statistics, Applied Probability, Actuarial Science, Data Science, and Financial Mathematics
Position title: Visiting Assistant Professor
Open date: December 19, 2023
Next review date: Monday, Feb 5, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Sunday, Mar 31, 2024 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.
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.
The Department comprises 21 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 (https://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.
The department has two specializations in research and teaching. Applicants hired for one of these specializations must be willing to primarily teach courses in three areas.
Specialization in Statistics and Data Science (STDS): Applicants for this specialization have research-level expertise in a field related to mathematical statistics, biostatistics, applied statistics, computational statistics and data science.
Specialization in Financial Mathematics and Actuarial Research (FMAR): Applicants for this specialization have research-level expertise in a field related to financial mathematics, probability, actuarial science.
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 https://www.pstat.ucsb.edu
More Info: https://www.pstat.ucsb.edu/about/employment
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.
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.
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Applicants interested in one of two areas should indicate the corresponding acronym (STDS, FMAR) in the Cover Letter submitted on UC Recruit
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.
- 3-5 letters of reference required
Applicants should provide the names and contact information for 3-5 references and must request letters of reference within the system in order to complete application requirements.
Help contact: email@example.com
ABOUT UC SANTA BARBARA
The University of California is an Equal Opportunity/Affirmative Action Employer. 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.
As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
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