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Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society



Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society

Position overview
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: https://www.ucop.edu/academic-personnel-programs/_files/2022-23/july-2022-salary-scales/t15.pdf. The current full-time salary range for this position is $64,329-$181,015. 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 December 2023. 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 December 2023; applicants wishing to remain in the pool after that time will need to submit a new application.

Application Window
Open date: January 6, 2023

Most recent review date: Tuesday, Aug 1, 2023 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: Saturday, Jan 6, 2024 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 description

The College 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.

About CDSS
The College 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 College 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 College 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 College 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.

Responsibilities
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.

Department: https://data.berkeley.edu/academics/undergraduate-programs

Division: https://data.berkeley.edu/

To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit:: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ix/contract.html

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
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.
  • Cover Letter
  • Statement of Teaching
  • 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).
    (Optional)


Reference requirements
  • 3-4 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF03761

Help contact: cdss_hr@berkeley.edu

About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).

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 prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Job location
Berkeley, CA


To apply, visit https://aprecruit.berkeley.edu/JPF03761









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