We are Hiring! Lecturer Pool Open for Applications
Lecturer - Department of Statistics
University of California, Berkeley
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. Positions may range from 33% to 100% time.
We are seeking outstanding lecturers who can teach one or more of the following courses
(see http://guide.berkeley.edu/courses/stat/ for the course description):
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 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 154: Modern Statistical Prediction and Machine Learning
STATISTICS 155: Game Theory
STATISTICS 159: Reproducible and Collaborative Statistical Data Science
General duties include developing syllabi, 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.
Minimum Qualifications (at time of application):
The minimum qualification to be considered an applicant for the position is the completion of all the requirements for a PhD (or equivalent international degree), except the dissertation by the time of application.
Additional Qualifications (by start date):
An additional qualification is the completion of PhD (or equivalent international degree) by the start date.
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.
Minimum current rate is $56,381, based on a two semester, 100% time appointment. Salary commensurate with experience. Some credit given to prior college-level teaching experience (not including graduate student or summer session teaching).
UC Lecturers are academic appointees in an organized bargaining unit and are exclusively represented by American Federation of Teachers - Unit 18.
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 apply, please go to the following link: https://aprecruit.berkeley.edu/apply/JPF02497
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. 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 http://apo.berkeley.edu/evalltr.html prior to submitting their letters.
We typically review applications for Fall courses in April and May, for Spring courses in October and November, and for Summer courses in December and January.
Please e-mail questions to email@example.com.
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 complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.