Position overview
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
Salary range :
The UC academic salary scales set the minimum pay at appointment. The current full-time salary range for this position is $66,259-$186,446.
Placement on the scale is commensurate with college teaching experience.
Percent time : 15% to 100%
15% to 100%
Anticipated start :
Positions usually start in July or August for Fall, January for Spring, and June for Summer.
Review timeline :
Applications will be accepted and reviewed for unit needs through January 2025. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs.
The pool will close January 2025; applicants wishing to remain in the pool after that time will need to submit a new application.
Application Window
Open date : January 11, 2024
Most recent review date : Tuesday, Apr 2, 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 : Friday, Jan 10, 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
Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise.
Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring, and summer sessions), depending on the needs of the unit.
Responsibilities
DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas.
We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.
Core courses include :
- Fundamentals of Data Science
- Principle and Techniques of Data Science
- Human Contexts and Ethics of Data
- Data and Justice
- Data, Inference, and Decisions
- Honors Thesis Seminar
Instructors may also be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines.
Teaching a Data Science course may include holding office hours, assigning grades, advising students, preparing course materials, providing clear and prompt feedback on student work, and maintaining the course website.
Please note : The use of a lecturer pool does not guarantee that an open position exists.
Qualifications
Basic qualifications (required at time of application)
Must have an advanced degree or be enrolled in an advanced degree program at the time of application.
Additional qualifications (required at time of start)
Advanced degree. Candidates must already be authorized to work in the United States.
Preferred qualifications
A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.
Application Requirements
Document requirements
- Curriculum Vitae
- Cover Letter
- Statement of Teaching
- Statement on Contributions to Advancing Diversity, Equity, and Inclusion (Optional)
Reference requirements
3-4 required (contact information only)
Apply link :
https : / / aprecruit.berkeley.edu / JPF04278
Help contact : cdss [email protected]
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position.
The University of California, Berkeley is an Equal Opportunity / Affirmative Action Employer.
Job location
Berkeley, CA
J-18808-Ljbffr
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