Position overviewPosition title: Lecturer
Salary range: The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: ( T15 ). The current full-time salary range for this position is $73,817-$207,711 Placement on the scale is commensurate with college teaching and/or relevant industry experience.
Percent time: 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 November 2027. 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 November 2027; applicants wishing to remain in the pool after that time will need to submit a new application.
Application Window Open date: November 13, 2026
Next review date: Saturday, Nov 28, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Nov 13, 2027 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 descriptionThe College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS 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:
CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large project-based courses. We are particularly interested in instructors who can teach industry-specific project courses for the college. The college is developing multiple Artificial Intelligence and Machine Learning project based courses to enhance the portfolios of students in computing, data science, and statistics fields. These courses are designed for the purpose of developing skills relevant for careers in Full-Stack Development & Entrepreneurship Development in AI/ML.
Teaching a CDSS course may include holding office hours, assigning grades, preparing course materials (e.g.,slides, syllabus, homework assignments), 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. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
Division: https://cdss.berkeley.edu/
Qualifications Basic qualifications (required at time of application)
The minimum qualification required to be considered an applicant for the position is a Bachelor's degree (or equivalent international degree). Must be met by the time of application.
Additional qualifications (required at time of start)
Advanced degree or four years teaching and/or industry experience.
Preferred qualifications A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.
Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Application RequirementsDocument requirements - Curriculum Vitae - Your most recently updated C.V.
- Cover Letter
- Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Reference requirements- 3-4 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF05633
Help contact: tjcaskey@berkeley.edu
Job location Berkeley, CA
