Description

Social Work Associate/Full Professor In Ai And Data Science Cluster

Milwaukee, WI
Full Time
JR10006728

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:
Social Work Associate/Full Professor in AI and Data Science Cluster

Job Category:
Faculty

Employment Type:
Regular

Job Profile:
Professor

Job Duties:

Artificial Intelligence and Data Science Cluster Hire Initiative, University of Wisconsin-Milwaukee (UWM)

The Social Work Department at the University of Wisconsin-Milwaukee (UWM) invites applicants 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 expertise both in a critical social work area of research (e.g., 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 program

Key Job Responsibilities:

Department:

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.

Accredited by the CSWE, the Social Work Department is housed in the Helen Bader School of Social Welfare in the College of Community Engagement and Professions. The Department confers BSW and MSW degrees, and with the Department of Criminal Justice and Criminology, jointly offers a PhD degree in Social Welfare. The doctoral program prepares students for leadership roles such as university faculty, program evaluators, and policy analysts. The MSW program, which offers both online and in-person curricular options, emphasizes generalist practice. In addition, students can complete accredited programming in substance abuse counseling and school social work along with interdisciplinary certificates in trauma-informed care, applied gerontology, and nonprofit management. MSW students can also earn coordinated degrees with various programs such as criminal justice and criminology (CJC).

Compensation:

The target hiring range is $90,000-$150,000/year on a 9-month basis. The final salary offer will be contingent on rank and qualifications related to the position.

Required Qualifications:

• Ph.D/Doctorate in Social Work or a related field.
• Ability to meet rank of a tenured associate or full professor at UWM due to demonstrated distinguished record of research, scholarship, teaching, and service accomplishments.
• Proven success in securing external research funding.
• Demonstrated commitment to fostering inclusive environments and supporting the success of students, including historically underrepresented students (e.g. first-generation students, Pell-eligible students).

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.

How to Apply:

Interested candidates are required to apply online and submit the following:

• Curriculum vitae.

• Letter of interest describing research interests, past accomplishments, qualifications, funding record, and vision for collaborative work with Northwestern Mutual Data Science Institute.

• Referee List (names and contact information of at least three professional references). Letters of recommendation will be requested by the search committee after the initial review.

PLEASE NOTE: resume, cover letter and list of areas of nursing expertise will need to be uploaded to the same area in the application. Note: Applicants must complete all required fields and attach all required documents prior to submitting the online application to ensure full consideration. Additional documents submitted aside from the requested materials will not be considered.

In instances where the Search and Screen Committee is unable to ascertain from the candidates' application materials whether they meet any of the qualifications, they may be evaluated as not meeting such qualifications. This is a continuous recruitment with an initial review date of January 12, 2026. To ensure consideration, applications must be submitted by January 11, 2026. Application materials received after January 11, 2026 may not receive consideration.

Questions about the position should be directed to Jackson Prowse at prowse@uwm.edu.

Reasonable Accommodations
Pursuant to university policy, UWM provides reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. Employment opportunities will not be denied because of the need to make reasonable accommodations for a qualified individual with a disability. If you need assistance or accommodation in applying because of a disability, please contact uwm-jobs@uwm.edu or 414-229-4463. This job announcement and other material on this site will be made available in alternate formats upon request to an individual with a disability.

Confidentiality of Applicant Materials
UWM is a State agency and subject to Wisconsin's Open Records Law. UWM will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin's Open Records law. In certain circumstances, the identities of "final candidates" and/or the identity of the appointed applicant must be revealed upon request.

CBC and Reference Check Policy
Employment will require a criminal background check. UWM takes the prevention of sexual misconduct seriously. As such, you and your references will be required to answer questions regarding any past findings of sexual violence and sexual harassment or any pending allegations of sexual violence or sexual harassment.

Annual Security and Fire Safety Report (Clery Act)
For the UWM Annual Security and Fire Safety Reports (i.e., Clery Report), which includes statistics about reported crimes and information about campus security policies, see http://www.cleryact.uwm.edu/, or call UWM's Dean of Students Office, Student Union 345 at (414) 229-4632 for a paper copy.

Employment Authorization
In compliance with federal law, all persons at the time of their start date will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

UW is an Equal Opportunity Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.


To apply, visit https://wisconsin.wd1.myworkdayjobs.com/en-US/UW_Milwaukee/job/Milwaukee-WI/Social-Work-Associate-Full-Professor-in-AI-and-Data-Science-Cluster_JR10006728.







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