Lecturer - Statistics - Department of Statistics - College of Computing, Data Science and Society
Salary range: The UC academic salary scales set the minimum pay at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/july-2023-acad-salary-scales/t15.pdf. The current full-time salary range for this position is $66,259–$186,446.
Percent time: 11%-100%
Anticipated start: We typically start reviewing applications for Fall and Summer courses in December, for Spring courses in August-September, however we encourage applications throughout the year as new needs may arise.
Open date: August 17, 2023
Next review date: Friday, Sep 1, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Sunday, Apr 7, 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 at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.
We are seeking outstanding lecturers who can teach one or more of the following courses:
STATISTICS 2: Introduction to Statistics
STATISTICS C8: Foundations of Data Science
STATISTICS 20: Introduction to Probability and Statistics
STATISTICS 21: Introduction to Probability and Statistics for Business
STATISTICS 33A: Introduction to Programming in R
STATISTICS 33B: Introduction to Advanced R
STATISTICS 88: Probability and Mathematical Statistics in Data Science
STATISTICS C100: Principles and Techniques of Data Science
STATISTICS 131A: Statistical Methods for Data Science
STATISTICS 133: Concepts in Computing with Data
STATISTICS 134: Concepts of Probability
STATISTICS 135: Concepts of Statistics
STATISTICS 150: Stochastic Processes
STATISTICS 151A: Linear Modeling: Theory and Applications
STATISTICS 153: Time Series
STATISTICS 154: Modern Statistical Prediction and Machine Learning
STATISTICS 155: Game Theory
STATISTICS 159: Reproducible and Collaborative Statistical Data Science
General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.
The Department of Statistics is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or research.
To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit:: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ix/contract.html
Statistics Course Descriptions: https://guide.berkeley.edu/courses/stat/
Basic qualifications (required at time of application)
The minimum qualification to be considered an applicant for the position is the completion of a PhD (or equivalent international degree).
An alternate minimum qualification at the time of application is the completion of a Masters degree (or equivalent international degree) and evidence of college level instructional experience.
PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.
Curriculum Vitae - Your most recently updated C.V.
Statement of Teaching Philosophy and Experience
Teaching Documentation - Teaching materials and/or student evaluations.
Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).
Copy of Transcript (Optional)
- 2-3 letters of reference required
Letter writers will receive a URL from the online system through which to upload their letters. It is the responsibility of the applicant to make sure that letters of reference are requested and submitted online. The committee will not read letters until after the initial review.
Apply link: https://aprecruit.berkeley.edu/JPF03855
Help contact: firstname.lastname@example.org
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley 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 complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.