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

The University of Wisconsin-Milwaukee; Milwaukee (WI); Presencial; USD 110 000 - 160 000; Tempo integral

Resumo da oferta

The University of Wisconsin–Milwaukee invites applications for an associate or full professor, tenure-line, in Social Work as part of an AI and Data Science Cluster Hire Initiative.

This faculty will secure external funding and advance AI-driven social work research in collaboration with NMDSI, supporting Milwaukee's tech growth.

Qualificações

• PhD/Doctorate in social work or related field is required.
• Proven record of securing external research funding, preferably federal funding in AI.
• Strong record of research and scholarship, teaching, and service suitable for tenured rank.

Responsabilidades

• Produce scholarship in 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.

Conhecimentos

External funding

Interdisciplinary collaboration

AI & Data Science in social work

Community engagement

Formação académica

PhD/Doctorate in social work or related field

Descrição da oferta de emprego

Current Employees

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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.

Key Job Responsibilities

• 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.

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.

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 [e-mail] 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 [phone] 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.

Questions about this position should be directed to Joshua Xiong at [e-mail].