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 8: Introduction to Data Science
STATISTICS 20: Introduction to Probability & Statistics
STATISTICS 21: Introduction to Probability & Statistics for Business
STATISTICS 131A: Introduction to Probability & Statistics for Life Scientists
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 & Applications
STATISTICS 154: Modern Statistical Prediction and Machine Learning
STATISTICS 155: Game Theory
STATISTICS 157: Seminar on Topics in Probability & Statistics (On reproducible and collaborative statistical data science)
Teaching responsibilities, general duties include holding office hours, developing syllabi, assignments, writing and grading exams, supervising teaching assistants, and maintaining a course website. Other duties may be assigned by the Chair as necessary.
Minimum Qualifications (at time of application):
Advanced degree or enrolled in an advanced degree program
Additional qualification (by start date): PhD (or equivalent international degree).
PhD in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.
Salary commensurate with experience. Some credit given to prior college-level teaching experience (not including graduate student or summer session teaching).
The Department of Statistics is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or research.
Applications must be submitted through APRecruit: https://aprecruit.berkeley.edu/apply/JPF01940
Applicants should provide the following required documents for a complete application:
• Curriculum vitae: Your most recent updated C.V.
• Statement of Teaching Philosophy
• Teaching documentation: Teaching statement and/or student evaluations
• 2-3 Names to Solicit Letters of Recommendations: Provide names and contact information for three people who are familiar with the candidate’s scholarly work. Letters of recommendations for tenured positions will be solicited by the University of California.
• Cover Letter
• Copy of Transcript (optional)
• Statement of Contributions to Diversity: Statement addressing past and/or potential contributions to diversity through teaching.
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.
The posting will remain open until November 19, 2019 to accommodate departmental needs. The pool will close on November 19, 2019. If you wish to remain in the pool after that time, you will need to submit a new application.
Email questions to recruit [at] stat [dot] berkeley [dot] 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 complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.