More jobs:
Associate/Full Professor in Social Work, AI & Data Science Cluster
Job in
Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listed on 2026-09-22
Listing for:
University of Wisconsin Colleges
Full Time
position Listed on 2026-09-22
Job specializations:
-
IT/Tech
-
Education / Teaching
University Professor, Academic
Job Description & How to Apply Below
Partially Remote:
Milwaukee, WI:
Posted 2 Days Ago:
JR##
*** Current Employees:
If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.***##
*
* Position Title:
** Associate/Full Professor in Social Work, AI & Data Science Cluster##
** Job Category:
** Faculty##
*
* Employment Type:
** Regular##
** Job Profile:
** Associate Professor##
*
* Job Duties:
** The Social Work Department at the University of Wisconsin-Milwaukee (UWM) invites applicants to apply to an associate or full professor, tenure-line faculty position as part of an Artificial Intelligence and Data Science Cluster Hire Initiative. UWM Academic Affairs, with generous support from the Northwestern Mutual Data Science Institute (NMDSI), is making a strategic investment in this position, providing competitive salary supplements and start-up resources.
The new faculty will have a record of securing external funding along with experience in academic settings that is commensurate with a rank of Advanced Assistant Professor (with ability to join UWM as tenured associate) or higher. Applicants are expected to have expertise both in a critical social work-related area of research (e.g., applied gerontology, health disparities, poverty policy, child welfare, community practice, criminal justice, etc.)
and in AI and Data Science. The incoming faculty will collaborate with NMDSI to drive innovative research, strengthen community engagement, and develop AI and Data Science talent to support Milwaukee’s growth as a technology and innovation hub. Candidates with relevant expertise will also have the opportunity to affiliate as Fellows with UWM’s Connected Systems, which houses the Microsoft AI Co-Innovation Lab Faculty in this cluster hire will be housed in UWM’s College of Community Engagement & Professions:
Helen Bader School of Social Welfare and the School of Information Studies.
The faculty hired for this cluster in the Department of Social Work will:
* Produce scholarship in an important area of social work research.
* Advance interdisciplinary AI and Data Science research at UWM.
* Collaborate with NMDSI to address real-world challenges.
* Innovate and expand AI and Data Science educational programs.##
** Key
Job Responsibilities:
**##
** Department:
** The Helen Bader School of Social Welfare is comprised of the Department of Social Work and the Department of Criminal Justice & Criminology. The Department of Criminal Justice & Criminology offers a BS and an MS, as well as jointly offering a PhD in Social Welfare with the Department of Social Work. The Department is known for its commitment to collaborative partnerships with community and governmental organizations in southeast Wisconsin and beyond through research and student engagement.##
** Why Join UWM?
** UWM is recognized by the Carnegie Foundation as both a Research 1 and Community Engaged university. Our mission as an urban research university aligns with this dual designation and is key to our shared, aspirational purposes reflected in our 2030 Strategic Plan to advance student success, the employee experience, research impact and innovation, as well as fiscal sustainability and economic growth.
As one of the few Carnegie R1 Research Universities with a Community Engagement designation, UWM offers a unique opportunity to make a significant impact on public health through research, teaching, and collaboration. ##
** Compensation:
** The target hiring range is $110,000 - $160,000 on a 9-month, academic basis. Final salary offer will be contingent on rank and skills and abilities demonstrated throughout the selection process##
*
* Requ…
Position Requirements
10+ Years
work experience
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