Computational Social Science Instructor

1 week ago


San Francisco, California, United States InsideHigherEd Full time

About the Position

The Interdisciplinary Social Sciences Program (ISSP) at the University of California, Berkeley is seeking a qualified lecturer to teach courses in computational social science. The successful candidate will have a strong background in data science and experience in teaching and mentoring students.

Responsibilities

  • Teach 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, and Capstone Project.
  • Hold office hours, assign grades, advise students, prepare course materials, write exams, and interact with students outside of class time via email and/or a course website.
  • Manage teaching assistants and provide guidance and support as needed.

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 is preferred.
  • Leadership, management, and entrepreneurial skills are also preferred.

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.

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.



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