eMPLOYMENT
Work toward the passionate pursuit of social justice
Faculty
Quantitative Methods & Applied Data Science Adjunct Professor
The MS in Social Policy Program at the University of Pennsylvania’s School of Social Policy & Practice (SP2) seeks experienced adjunct instructors for one (or more) of the following courses, offered in Fall 2022 and Spring 2023. Fall courses run from August 30, 2022 until December 22, 2022; spring courses run from January 11, 2023 until May 9, 2023.
- MSSP 6070: Practical Data Science Required expertise: Python
- MSSP 6080: Practical Machine Learning Required expertise: Python
- MSSP 6290: Research & Evaluation Design
- MSSP 7300: Community Mapping Required expertise: ArcGIS
- MSSP 6300: Quantitative Reasoning Required expertise: R
- MSSP 8970: Applied Linear Modeling Required expertise: R
- MSSP 6680: Economics for Social Policy
Instructors should be available to teach the courses in-person and available to teach morning, afternoon, and/or evening classes. Pay is competitive.
An advanced degree is required, preferably in a relevant social science and policy field with an emphasis on data science and statistical methods. Please provide a cover letter, curriculum vitae, teaching evaluations for two to three courses from prior teaching, and the names and contact information for three references. Due to the volume of applications, only candidates selected for an interview will be contacted. No letters of recommendation are required at this time. Please e-mail application materials in one PDF file titled with your name to Dr. Ezekiel Dixon-Román (ezekield@sp2.upenn.edu) and put “MSSP Instructor Application” in the e-mail subject. Application review will begin May 30, 2022.
Full-time Lecturer
The University of Pennsylvania School of Social Policy & Practice invites applications for the position of full-time lecturer beginning in Fall 2022. This appointment will be for one academic year; there is the possibility that the appointment may be renewed twice for a total of three years, contingent upon a satisfactory performance review after each year. We seek experienced and motivated applicants who are interested in teaching and contributing to the Master of Social Work Program.
The position will be a full-time, nine-month academic support staff appointment. The primary goal of this position is to enhance the School’s teaching capacity in core foundational and advanced social work courses, including two-semester foundation and advanced clinical courses, American Racism and Social Work Practice, Human Behavior in the Social Environment, History and Philosophy of Social Work and Social Welfare, and Mental Health Diagnostics.
Candidates for the position will be expected to maintain a combination of teaching and service responsibilities equivalent to eight courses per year. In addition to teaching, other responsibilities include contributing to MSW curricular issues, including curriculum sequence meetings and assisting with the Council on Social Work Education (CSWE) self-study and reaccreditation process. Individuals in this position will report to the MSW Program Faculty Director.
We seek applicants with demonstrated commitment to excellence in social work education and practice and to the pursuit of social justice, equity, and inclusion. The successful candidate will have at a minimum a master’s degree from a CSWE-accredited school of social work. A doctoral degree in social work is preferred. Additional qualifications are as follow: 1) at least 5 years of post-MSW practice experience, including practice in agency-based contexts with diverse populations; 2) at least 2 years of social work supervisory experience; 3) a minimum of 3 years of teaching experience, preferably in practice; 4) strong teaching evaluations; 5) demonstrated expertise in at least one practice area; 6) demonstrated leadership in the field; and 7) strong recommendations.
In order to apply, please submit a detailed curriculum vitae, recent prior teaching evaluations (within the last 3 years), names and contact information for three references, and a cover letter describing courses you would like to teach, your educational and professional background, and how your teaching contributes to excellence in social work education and practice and to the pursuit of social justice, equity, and inclusion to Malitta Engstrom at malitta@sp2.upenn.edu.
Postdoctoral Fellows
University of Pennsylvania, Applied Critical Data Science Postdoctoral Fellowship Positions
The MS in Social Policy Program at the University of Pennsylvania’s School of Social Policy & Practice (SP2) seeks to hire two to three postdoctoral fellows in applied critical data science. We are interested in scholars with a background in data science, computational social science, computational linguistics, societal computing, or other related areas and are doing research on the intersections of critical theory and policy studies. The program is looking for scholars who are informed by or engage critical data studies, critical race and digital studies, new media studies, platform studies, Black radical thought, Black feminism, queer and trans studies, indigenous studies, critical posthumanisms, critical disability studies, affect theory, among other areas of critical scholarship. In addition, we are interested in scholars who do work on various areas of policy research, governmentality, data and tech policy, biopolitics, the intersections of data science with social work and/or public health, and criminal justice among other areas. Global scholarship is also of strong interest though not required. Candidates may also have an opportunity to participate the Institute in Critical Quantitative, Computational & Mixed Methodologies as well as the exciting and developing new initiative, the Partnership for Social and Economic Mobility.
In addition to maintaining a research program, postdoctoral fellows will be required to teach two courses per year, of the following courses, offered in Fall 2021 and Spring 2022.
- MSSP 6070: Practical Data Science Required expertise: Python
- MSSP 6080: Practical Machine Learning Required expertise: Python
Course descriptions can be found here. Postdoctoral Fellows will be expected to relocate to the Philadelphia area and be available to teach courses in-person. Pay is competitive and health insurance is paid 100% by the university.
A PhD is required, preferably in a relevant computational, social science and/or policy field with an emphasis on data science and statistical methods. Please provide a (no longer than 3-page) cover letter that includes both a research and teaching statement, curriculum vitae, teaching evaluations for two to three courses from prior teaching (if available), and a list of three references. Due to the volume of applications, only candidates selected for an interview will be contacted. No letters of recommendation are required at this time. Application review will begin June 21, 2021.
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Administration & Staff
All open administration and staff positions are posted on the University of Pennsylvania’s Human Resources website.