What are the responsibilities and job description for the Lecturer Recruitment Pool in Statistics and Applied Probability position at University of California - Santa Barbara?
Open date: December 2, 2024
Next review date: Friday, Jan 24, 2025 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Sunday, Mar 30, 2025 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 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.
Salary is based on UC's salary scales and depends on qualifications and experience.
The university is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service.
The posting will remain open until March 30, 2025, 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/.
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.
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
Statement of Contributions to Diversity - Statement addressing past and/or potential contributions to diversity through research, teaching, and/or service.
(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
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, age or protected veteran status. For the University of California's Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20. For the University of California's Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination.
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.
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.
Salary : $68,247 - $74,577