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Lecturer Recruitment Pool in Statistics and Applied Probability
Position overview
Position title: Lecturer (Non-Senate)Application Window
Open date: December 10, 2025
Next review date: Friday, Jan 23, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Tuesday, Mar 31, 2026 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.
Position description
The Department of Statistics and Applied Probability at the University of California, Santa Barbara invites applications for a pool of qualified lecturers to teach undergraduate statistics, data science, or probability for upcoming openings. Teaching duties include a range of introductory and upper-division courses. Screening of applicants is ongoing and will continue as needed. The number of positions varies from quarter to quarter, depending on the needs of the department. Positions may be either full-time or part-time. The department prioritizes candidates who would like to work full time
Salary is based on UC’s salary scales and depends on qualifications and experience.
The posting will remain open until March 31, 2026, to accommodate department needs. if you would like to continue to be considered after that time, and the pooled position is advertised again, you will need to submit a new application.
Please note: The use of a lecturer pool does not guarantee that an open position exists at the time you are applying. See the review date specified in UC Recruit to learn whether the department is currently reviewing applications for an upcoming opening. If there is no future review date specified, your application may not be considered at this time.
For more information about the Department please see our website: https://www.pstat.ucsb.edu/.
Qualifications
Applicants must possess a post-graduate degree (Master's or higher, or equivalent degree i.e. International degree equivalent) in Mathematics, Statistics, or a closely related field at the time of application.
Documented experience (at least 1 year of lecturing experience) in teaching Statistics or a related field at the college level. A PhD (or equivalent) by the time of appointment.
Application Requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - Most Recent/Updated Cover Letter
Statement of Teaching - Candidates should discuss their teaching experience and teaching-related activities in their teaching statement
Teaching Evaluations - Teaching evaluations will be option to provide. If you would like, please go ahead and do so.
(Optional)
- 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: aramesh7922@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy for Employees, students and third parties
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Additionally, 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.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.