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Universities of Wisconsin · 1 month ago

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

Milwaukee, WI

Full-time

Hybrid

Mid, Senior Level

$90K/yr - $150K/yr

The University of Wisconsin-Milwaukee (UWM) is seeking applicants for an associate or full professor position as part of its Artificial Intelligence and Data Science Cluster Hire Initiative. The faculty member will engage in innovative research, community engagement, and educational program development in AI and Data Science, particularly within the context of social work.

Higher Education

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 program

Qualification

Ph.D. in Social WorkAIData Science expertiseExternal research fundingInterdisciplinary research collaborationCommunity-engaged researchPartnership developmentInclusive environment commitmentTeaching experience

Required

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

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