Lecturer Pool - Master of Computational Social Science - ISSP - College of Letters & Science
Position overview
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Application Window
Open date: April 13, 2024
Most recent review date: Sunday, Apr 21, 2024 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: Sunday, Apr 13, 2025 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 Interdisciplinary Social Sciences Program (ISSP) is the administrative unit that oversees the interdisciplinary majors, minors and graduate programs within the Social Sciences Division of the College of Letters and Sciences at UC Berkeley.
Housed in ISSP, the Master of Computational Social Science (MaCSS) is a new one-year professional master's program that will provide students with practical skills for analyzing, interpreting, and visualizing social data. Social data are data about people, groups, organizations, and their interactions from surveys and censuses, company websites, store loyalty cards, cell-phone records, social media posts, internet searches, etc. MaCSS graduates will be able to work as analysts and data specialists in business, non-profit, and government settings.
DUTIES OF THE POSITION: Teaching one or more of the following courses:
• Introduction to Computing;
• Introduction to Applied Statistics;
• Advanced Computing;
• Applied Statistics;
• Ethics, Data, & Society;
• Special topics in Computational Social Science;
• Career Development;
• Capstone Project
In addition to teaching responsibilities, general duties may include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), writing exams, interacting with students outside of class time via email and/or a course web site, and managing teaching assistants.
Qualifications
A Bachelor's Degree or equivalent international degree is required at time of application.
-Prior teaching and/or work experience in computational social science, data science, computing, data analytics, or human resources.
-Leadership, management, and entrepreneurial skills
-Existing authorization to work in the U.S.
Application Requirements
Resume or Curriculum Vitae - Your most recently updated resume or C.V.
Cover Letter
Statement on Contributions to Advancing Diversity, Equity, and Inclusion - A brief 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. More Information and guidelines.
- 3 required (contact information only)
Help contact: macss@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.