Recruit
Lecturer - Department of Statistics - College of Computing, Data Science and Society
Position overview
Application Window
Open date: October 29, 2024
Most recent review date: Wednesday, Nov 13, 2024 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: Monday, Jun 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.
Position description
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 hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.
Teaching Responsibilities:
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:
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.
TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a ‘bootcamp’ 3-week format in late July and early August .
The Department of Statistics is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or research.
Department: https://statistics.berkeley.edu/
Division: https://data.berkeley.edu/
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/
Qualifications
The minimum qualification at the time of application is the completion of a Masters degree (or equivalent international degree).
Additional qualifications include evidence of college level instructional experience.
Preference for a 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.
Application Requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
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).
(Optional)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.
Help contact: recruit@stat.berkeley.edu
About UC Berkeley
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.
Please refer to the University of California’s Affirmative Action Policy and the University of California’s Anti-Discrimination Policy.
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.