Lecturer - College of Computing, Data Science, and Society

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.

About CDSS:

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 2,000 students graduated with a degree in these majors in Spring 2026, 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.

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/

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.

Document 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