Jobs · Education · Wisconsin

Associate/Full Professor in Social Work, AI & Data Science Cluster

University of Wisconsin-Milwaukee · Milwaukee, WI · 1 mo ago
Education$110k–$160k/yrFull-time

About the role

The University of Wisconsin-Milwaukee (UWM) seeks an Associate or Full Professor in Social Work as part of the Artificial Intelligence and Data Science Cluster Hire Initiative. Supported by the Northwestern Mutual Data Science Institute, the position offers competitive salary supplements and start-up resources. The successful candidate will have a record of securing external funding, expertise in a critical social work research area (e.g., applied gerontology, health disparities, poverty policy, child welfare, community practice, criminal justice) and in AI and Data Science, and will collaborate with NMDSI to drive innovative research, strengthen community engagement, and develop AI and Data Science talent. The faculty member will be housed in the Helen Bader School of Social Welfare and the School of Information Studies, with opportunity to affiliate as a Fellow with UWM’s Connected Systems (Microsoft AI Co‑Innovation Lab).

Responsibilities

  • Produce scholarship in an important area of social work research.
  • Advance interdisciplinary AI and Data Science research at UWM.
  • Collaborate with the Northwestern Mutual Data Science Institute to address real‑world challenges.
  • Innovate and expand AI and Data Science educational programs.
  • Drive innovative research, strengthen community engagement, and develop AI and Data Science talent in collaboration with NMDSI.

Required Qualifications

  • PhD/Doctorate in social work or a related field.
  • Ability to meet the rank of a tenured associate or full professor in the Department of Social Work at UWM, demonstrated by a strong record of research, scholarship, teaching, and service comparable to tenured associate/full professor.
  • Proven success in securing external research funding, preferably federal funding in areas of applied AI.
  • Demonstrated commitment to fostering inclusive environments and supporting the success of students, including historically underrepresented students (e.g., first‑generation, Pell‑eligible).

Preferred Qualifications

  • Proven track record of interdisciplinary research collaboration related to AI and Data Science.
  • Demonstrated experience in developing and sustaining partnerships with local organizations.
  • Strong record of community‑engaged research that addresses systemic challenges, employs empowered and emancipatory approaches, and generates equitable and inclusive outcomes.
  • Demonstrated contributions to advancing underrepresented areas in AI, with tangible impacts on societal benefits, ethical AI development, and reducing biases and inequities in technology access.
  • Expertise in analyzing and addressing systemic challenges affecting urban and underrepresented populations using AI.

Skills

  • Expertise in both a critical social work research area and AI/Data Science.
  • Ability to secure external research funding.
  • Teaching and mentoring of undergraduate and graduate students.
  • Service to the department, college, and university.
  • Community‑engaged and interdisciplinary collaboration.

Benefits

  • Competitive salary supplements.
  • Start‑up resources.
  • Opportunity to affiliate as a Fellow with UWM’s Connected Systems (Microsoft AI Co‑Innovation Lab).

Pay

The target hiring range is $110,000 – $160,000 on a 9‑month academic basis.

Schedule

9‑month academic appointment.

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