Information Studies Associate/Full Professor in AI and Data Science Cluster

Universities of Wisconsin • Milwaukee, WI

16d • $130,000 - $200,000

About The Position

Artificial Intelligence and Data Science Cluster Hire Initiative, University of Wisconsin-Milwaukee (UWM) The School of Information Studies (SOIS) 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 member will join us in preparing future information professionals to understand and apply AI and Data Science in various information organizations, including libraries, archives and private organizations, to add value by solving real-world problems. 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 in the School of Information Studies and the Helen Bader School of Social Welfare. The faculty hired for this cluster in SOIS will: Produce scholarship in an important area of Library and Information Science (LIS) or Information Science and Technology (IST). 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 within SOIS. Key Job Responsibilities: 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 $130,000-$200,000/year on a 9-month basis. The final salary offer will be contingent on rank and qualifications related to the position.

Requirements

• Ph.D. in LIS, IST or a closely related field.
• Distinguished record of research, scholarship, teaching, and service sufficient for appointment with tenure at the rank of Associate or Full Professor at UWM.
• 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).

Nice To Haves

• 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.

Responsibilities

• Produce scholarship in an important area of Library and Information Science (LIS) or Information Science and Technology (IST).
• 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 within SOIS.

Benefits

• UWM offers a comprehensive benefits package and contributes toward the cost of several benefit plans.
• Employees with a qualifying position also receive an extensive leave package including vacation, sick leave (with no expiration), personal holiday, and paid legal holidays.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree