One-U RAI Cluster Hires Program
The One-U Responsible AI Initiative (One-U RAI), housed within the Scientific Computing and Imaging (SCI) Institute at the University of Utah, is growing and pursuing multiple new faculty hires over the next five years. These hires will expand the core research expertise in responsible and translational AI within three thematic areas: environment, health care and wellness, and teaching and learning. A major goal is to attract new partnerships across the university and beyond. Candidates whose research expertise integrates social and technical aspects are of particular interest.
These new roles align with One-U RAI thematic areas, are responsive to broader opportunities, build on existing strengths and investments, and coordinate with the priorities and plans of colleges, schools, and departments. If you would like to learn more about this effort, please email the One-U RAI team or reach out to someone from your college engaged with the initiative or its hiring committees.
Program News
October 12, 2026 During its third annual Symposium on Oct. 6, the University of Utah One-U Responsible Artificial...
He Yin August 20, 2026 He Yin, a new faculty member who joined the University of Utah through...
August 20, 2026 As part of its cluster hires program, the One-U Responsible Artificial Intelligence Initiative at the...
Thematic Areas
AI for Environmental Resilience
Accelerating the creation of solutions to and promoting future resilience against environmental hazards
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Assistant or Associate Professor in AI for Environmental Modeling/Forecasting
Associate or Full Professor in AI for Environmental Monitoring
Applications are closed and candidate reviews are underway.
Inquiries regarding the position may be directed to Madeline Burton ([email protected]).
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Global ecosystems are undergoing unprecedented transformations driven by the rising demand for water, energy, and critical minerals. These changes are rapidly altering the Earth system, including land, air, and water, and influencing human systems, such as public health, epigenetics, migration, politics. A growing wealth of observational data from satellites, sensor networks, foundation models, gridded weather and reanalysis, socio-economic databases, and other multi-scale technologies is enabling a higher-fidelity view of the Earth system than ever before. Combing this ever-expanding ecosystem of data with advanced computational techniques, particularly the ethical and sustainable use of AI, is of high priority. The University of Utah, under the leadership of the One-Utah Responsible AI Initiative (One-U RAI), is building a new group to address a broad range of environmental challenges and opportunities created by AI by leveraging, integrating and enhancing existing strengths in earth and environmental science, biological science, social science, modeling and computation.
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- College of Architecture + Planning: Department of City and Metropolitan Planning
- College of Business: Departments of Operations & Information Systems and Quantitative Analysis of Markets and Organizations (QAMO)
- John and Maria Price College of Engineering: Department of Civil and Environmental Engineering
- College of Humanities: Divisions of Ethnic Studies and Gender Studies
- College of Law
- College of Science: School of Biological Sciences, Departments of Atmospheric Sciences and Geology & Geophysics
- College of Social and Behavioral Science: Schools of Environment, Society & Sustainability and Public Affairs and Departments of Anthropology, Economics, and Sociology & Criminology
Rethinking Education for the AI Revolution
Understanding how AI will shape the structures and nature of teaching and learning
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Assistant/Associate Professor Workforce Development and AI Literacy
Assistant/Associate Professor AI and Emerging Technologies in Teaching and Learning
Applications are closed and candidate reviews are underway.
Inquiries regarding the position may be directed to Madeline Burton ([email protected]).
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Artificial Intelligence (AI) is rapidly transforming the ways in which curriculum is designed, delivered, and supported across educational settings, while simultaneously reshaping the nature of work and the skills required for success in a changing economy. Institutions must adapt to prepare students for an AI-driven future, while also equipping faculty with tools, strategies, and frameworks to responsibly and effectively integrate AI into their teaching and research practices. Meanwhile, preparing students, communities, and organizations for an AI-driven future requires dedicated expertise in AI literacy, faculty development, and workforce strategies.
Under Strategy 2030 and the One-U Responsible AI Initiative (One-U RAI), the University of Utah is investing in faculty who will strengthen teaching, research, and partnerships at this intersection. This recruitment specifically targets faculty with expertise in AI in curriculum and faculty support innovation with new pedagogical approaches and AI-driven tools, AI education, AI workforce development, and/or digital upskilling initiatives.
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- College of Architecture + Planning: Department of City and Metropolitan Planning and Multi-Disciplinary Design, Division of Games, School of Architecture
- College of Business: Departments of Operations & Information Systems and Quantitative Analysis of Markets and Organizations (QAMO)
- College of Education: Department of Educational Psychology
- College of Engineering: School of Computing
- College of Humanities: Departments of Communication and Writing & Rhetoric Studies
- College of Science: Department of Mathematics
- College of Social and Behavioral Science: Department of Psychology
Health Data Operationalization for AI Research
Catalyzing AI-powered solutions across the patient care lifecycle in a safe and equitable manner
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This cluster will focus on advancing health data linkage and readiness to catalyze AI-powered solutions across the patient care lifecycle (bench-to-bedside and beyond) in a safe and equitable manner.
Medical data infrastructure and AI technical solutions leveraging that data infrastructure are constantly evolving, and it is challenging for many researchers to fully leverage UU health system data, particularly multimodal EHR data. Therefore, the impact of research discoveries on holistic data-informed patient care has yet to reach its full potential.
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- Ongoing Efforts: Vivek Reddy, Reed Barney, Jim Livingston, Andrew Post, Vik Deshmukh, Ravneet Chadha, and many others are working on developing more streamlined access to the EHR.
- Broader Context: Prior to launching a hiring effort, additional coordination across the U is required. Current efforts are focused on democratizing access to the EHR.
- Existing Resources: Utah Population Database (UPDB), Enterprise Data Warehouse (EDW) and associated EHR data.
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- To ensure that the University of Utah can attract the best and brightest talent as part of this cluster, it would be helpful for health data to be accessible in a timely, safe, and democratized way for AI research.
- Enable stakeholders across campus to integrate data, specifically health data, with the computing infrastructure needed for AI-enabled research.
- Establish processes and resources to support data integration and enable the success of this cluster hiring effort.
- To ensure that the University of Utah can attract the best and brightest talent as part of this cluster, it would be helpful for health data to be accessible in a timely, safe, and democratized way for AI research.
Frequently Asked Questions
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Goal: Establish 3-4 clusters over 3 hiring cycles starting AY’26.Overarching principles:
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Align with RAI thrusts and responsive to broader opportunities.
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Build on and complement existing strengths/aspirations and other RAI investments.
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Align with College/School/Department priorities and plans.
Timeline:-
Upon approval, job postings ready by July.
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Target home departments and hiring committees must be defined by June.
Framework and Funding:-
Shared hires with a faculty appointment with an academic unit and a research appointment at SCI.
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Baseline startup package will be split evenly amongst One-U RAI, the SVPAA, and the home department; salary supported from the One-U RAI.
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One-U RAI cluster hires will used a shared appointment model between the SCI Institute and an academic department. Shared appointments of faculty members are made in the situation where a unit that does not have the authority to appoint faculty wishes to collaborate with a faculty-appointing unit (academic department) and “share” some of the faculty member’s responsibilities. With a shared appointment, the faculty member will hold tenure/be on the tenure-track in only the academic department. The shared-appointment unit will offer input in faculty reviews, and will often provide financial or other resources for the faculty member who then conducts teaching, research, and/or service on behalf of the shared-appointment unit. More information can be found on the Office for Faculty webpage.
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If you have ideas around specific focus areas for the cluster hires that align with the thematic areas of environment, health care and wellness, and teaching and learning, including examples of existing collaborative or complementary expertise existing on campus or gaps that could be filled, please reach out to the One-U RAI Team or to the One-U RAI directly at [email protected].