Lecturer - Division of Computing, Data Science and Society

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 CDSS generally hires lecturers for appointment at 15% to 100% time on a semester basis.

About CDSS
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.

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.

In addition to teaching responsibilities, general duties include: hold 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 with support from the graduate student instructor (GSI).

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 (by start date):
Must have an 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.

Additional preferred qualifications include: a record of superior academic or professional performance; the ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment.

CDSS is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching.

Salary is commensurate with experience.

UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.

This position is in a represented bargaining unit.

To apply, please go to the following link:
https://aprecruit.berkeley.edu/JPF02809

Applications will be accepted and reviewed for department needs through November 1, 2021. 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 30, 2021; applicants wishing to remain in the pool after that time will need to submit a new application.

Letters of reference will only be solicited for finalists. 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 (https://apo.berkeley.edu/ucb-confidentiality-policy) prior to submitting letters.

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.

Please email questions to the Anusha Joga, at CDSS_HR@berkeley.edu.

The University of California 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.


To apply, visit https://aprecruit.berkeley.edu/JPF02809







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