Open date: February 1, 2022
Most recent review date: Tuesday, Nov 22, 2022 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: Wednesday, Feb 1, 2023 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.
The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach online courses in Data Science. We are seeking outstanding instructors who can teach 15-person sections in our web-based Master’s in Information and Data Science program. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School. Appointments may be renewed based on need, funding, and performance.
Due to budget restrictions, no funding is available for visa or relocation expenses. Applicants must be located in the United States to be eligible for this position.
About The I School
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.
The I School offers three professional master’s degrees and an academic doctoral degree. Candidates selected for our Data Science Lecturer position typically teach classes that primarily enroll graduate students from our MIDS program, which trains data scientists to manage and analyze the coming onslaught of big data, in a unique high-touch online degree. Successful instructors in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information and data science.
Teaching responsibilities include planning and leading online classes that focus on active learning: discussions, group activities, examples, and walkthroughs relevant to concepts covered in existing asynchronous materials associated with the course.
In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students on Slack, Piazza, or email, prepare course materials (e.g., syllabus, assessment materials), provide clear and prompt feedback on student work, and maintaining the course website. Lecturers are also expected to attend bi-weekly course team meetings with other instructors of the course, and are encouraged to attend bi-weekly faculty meetings.
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 school 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.
The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas. We require that applicants submit a statement addressing past and/or potential contributions.
UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.
A bachelor's degree (or equivalent international degree).
Experience teaching college-level courses.
An advanced degree in a field such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Professional experience in a field such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Demonstrated excellence in teaching college-level courses.
Experience teaching college-level courses online.
Teaching experience in at least one of the following core areas:
- Introductory programming
- Research design and data analysis
- Applied statistics
- Data engineering, storage, retrieval
- Visualizing and communicating data
- Applied machine learning
- Privacy, security, and ethics of data
- Experiments and causal inference
- Very large scale data mining and analysis
- Applied regression and time series analysis
- Deep learning
- Social network analysis
- Natural language processing
Preferred qualifications include:
Ability to enrich course content within defined curriculum goals and objectives; and a demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment.
Curriculum Vitae - Your most recently updated C.V.
Statement of Teaching Interests/Experience/Approach - Please indicate which class(es) you believe you are qualified to teach.
Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).
- 3 required (contact information only)
Help contact: email@example.com
Diversity, equity, inclusion, and belonging are core values at UC Berkeley. Our excellence can only be fully realized by faculty, students, and academic and non-academic staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity, inclusion, and belonging.
The University of California, Berkeley is an Equal Opportunity/Affirmative Action 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. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (http://apo.berkeley.edu/ucb-confidentiality-policy) prior to submitting their letter.
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
Positions that are represented by a collective bargaining unit or agent have particular contracts. For more information, please refer to the relevant contract: Lecturer contract, Postdoctoral contract, Research Series contract, and Librarian contract. Questions about represented positions can be directed to the hiring unit.