Lecturer - College of Computing, Data Science, and Society

Position Overview

Salary range:
The UC academic salary scales set the minimum pay  the following table for the current salary scale for this position: https://(Use the "Apply for this Job" box below). The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching 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.

Open date:
June 10, 2025

Most recent review date:
Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time)

Final date:
Wednesday, Nov 25, 2026 at 11:59pm (Pacific Time)

The 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.

Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.

CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.

CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

CDSS is seeking outstanding instructors to be appointed in the non‑Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy.

Examples include:
Anthropology of Science, Data, and Technology;
Artificial Humanities: AI, Language, and Fiction; and Data and Justice.

Teaching a CDSS course may include holding office hours, assigning grades, advising students, 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.

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• Basic qualifications
  :
  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):
  …