Overview
Applied Critical Data Science Postdoctoral Fellowship at the University of Pennsylvania: School of Social Policy and Practice, Philadelphia, PA.
Open to two to three postdoctoral fellows pursuing work at the intersections of critical data science, policy studies, and related areas.
Responsibilities
- Teach two courses per year (Fall 2021 and Spring 2022) as part of the fellowship.
- Engage in research in applied critical data science aligned with program interests and cross-disciplinary initiatives at SP2.
Course offerings (examples)
- MSSP 607: Practical Data Science — Required expertise: Python
- MSSP 608: Practical Machine Learning — Required expertise: Python
Qualifications
- PhD required, preferably in a relevant computational, social science, and/or policy field with emphasis on data science and statistical methods.
- Background in data science, computational social science, computational linguistics, societal computing, or related areas; research at the intersections of critical theory and policy studies.
- Willingness to relocate to the Philadelphia area and teach in-person.
Application details
- Applicants should submit: a cover letter (no longer than 3 pages) including research and teaching statements, curriculum vitae, teaching evaluations for two to three courses (if available), and a list of three references.
- No letters of recommendation are required at this time.
- Application review began June 21, 2021; due to volume, only candidates selected for an interview will be contacted. Apply via Interfolio: 89210.
Pay is competitive and health insurance is paid 100% by the university. Postdoctoral fellows will be expected to relocate to the Philadelphia area and teach courses in person.
Notes
- This description reflects the information originally provided and excludes unrelated listings and boilerplate.