Associate/Full Professor In Social Work, Ai & Data Science Cluster

Associate/Full Professor In Social Work, Ai & Data Science
Cluster

Milwaukee, WI

JR10015029

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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

Required Qualifications:

• PhD/Doctorate. in social work or a related field.
• Ability to meet rank of a tenured associate or full professor

in the Department of Social Work at UWM which includes a strong
record of research and scholarship, teaching, and service
accomplishments comparable to those of a tenured associate or 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 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 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

references). Letters of recommendation will be requested by the
search committee after the initial review.

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 these required 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
October 19, 2026. To ensure consideration, applications must be
submitted by October 18, 2026. Application materials received after
October 18, 2026 may not receive consideration.

Be part of UWM's mission to transform lives and communities through
research, collaboration, and community engagement.

Questions about this position should be directed to Joshua
Xiong at jxxiong@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/Associate-Full-Professor-in-Social-Work--AI---Data-Science-Cluster_JR10015029-1.

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