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Lecturer - Division of Computing, Data Science and Society
University of California Berkeley
Lecturer - Division of Computing, Data Science and Society
Position overview Percent time: 15% to 100% Anticipated start: Positions usually start in July or August for Fall, January for Spring and June for Summer. Applications are typically reviewed for summer session course needs in April, fall course needs in May, and in November for spring course needs.
Applications will be accepted and reviewed for department needs through December 2022. 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 2022; applicants wishing to remain in the pool after that time will need to submit a new application. Application Window
Open date: December 7th, 2021
Most recent review date: Friday, Jun 10, 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, Dec 7, 2022 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 Division of Computing, Data Science, and Society (CDSS) 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.
The Division of Computing, Data Science, and Society (CDSS) is a dynamic, innovative new structure at UC Berkeley that represents a once-in-a-generation transformation. The Division brings together faculty, researchers, and students from computing, statistics, the humanities, and social and natural sciences, mirroring the cross-cutting nature of data science and redefining the research university for the digital age. Core to the Division is a commitment to examining how the digital revolution affects equity and opportunity-and building the capacity to respond to these challenges. CDSS connects the Data Science Education Program, School of Information, Departments of Electrical Engineering & Computer Sciences and Statistics, the Berkeley Institute for Data Science, and the Data Science Commons. The Division is responsible for growing Berkeley's broad-based data science education program, including classes and programs serving thousands of undergraduate students a year.
CDSS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. CDSS is interested in candidates whose previous experience has prepared them to contribute to our commitment to diversity and inclusion.
CDSS 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
Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.
Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.
CDSS is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching.
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.
Qualifications Basic qualifications (required at time of application)
Basic qualifications (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)
Additional qualifications (by start date): 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 - Your most recently updated C.V.
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).
Apply link: https://aprecruit.berkeley.edu/JPF03254
- 3-4 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.
Job location Berkeley, CA
To apply, visit https://aprecruit.berkeley.edu/JPF03254
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