Lecturer - Department of Statistics - College of Computing, Data Science and Society

Lecturer
- Department of Statistics
- College of Computing, Data Science and Society

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 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.

Qualifications:

Basic qualifications (required at time of application):
The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).

Additional qualifications (required at time of start):
Evidence of college level instructional experience.

Preferred qualifications:

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:

Document 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.
• Copy of Transcript (Optional)

Reference requirements:

• 2-3 required (contact information only)

About UC Berkeley:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world.

Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity 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.