Asst​/Assoc Professor - Applied AI​/ML and Advanced AI

Asst/Associate Professor - Applied AI/ML and Advanced AI Applications Join Our Campus Community!

Thank you for your interest in joining the University of Wyoming. Our community thrives on the contributions of talented and driven individuals who share in our mission, vision, and values. If your expertise and experience align with the goals of our institution, we would be thrilled to hear from you. We encourage you to apply and become a valued member of our vibrant campus community today!

At the University of Wyoming, we value our employees and invest in their success. Our comprehensive benefits package is designed to support your health, financial security, and work‑life balance. Benefits include:

• Generous Retirement Contributions
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  The State contributes 14.94% of your gross salary, and you contribute 3.68%, totaling 18.62% toward your retirement plan.
• Exceptional Health & Prescription Coverage
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  Enjoy access to medical, dental, and vision insurance with competitive employer contributions, that include 4 deductible options to suit your needs.
• Paid Time Off
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  Benefit from ample vacation, sick leave, paid holidays, and paid winter closure.
• Tuition Waiver
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  Employees and eligible dependents can take advantage of tuition waivers, supporting continuous education and professional growth.
• Wellness and Employee Assistance Programs
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  Stay healthy with wellness initiatives, counseling services, and mental health resources.

At the University of Wyoming, we are committed to creating a supportive and enriching workplace. To learn more about what we offer, please refer to UW’s Benefits Summary.

Tenure‑Track Assistant/Associate Professor Positions in Applied AI/ML and Advanced AI Applications

As part of the University of Wyoming’s AI Strategic Initiative and the President’s AI Across the University Commission, UW invites applications for three (3) tenure‑track Assistant/Associate Professor positions in applied artificial intelligence (AI), machine learning (ML), and advanced applications of AI. We seek faculty who will build collaborative research programs, secure significant external research funding, and create impactful learning experiences for students.

For an Assistant Professor rank, candidates must demonstrate strong potential to build a nationally recognized, externally supported research program. For Associate Professor rank, candidates are expected to have a nationally recognized, established record of scholarship, external research funding and leadership. We welcome candidates from academic, applied, and interdisciplinary backgrounds, including those with experience in industry, national laboratories, government, or community‑engaged settings, particularly where AI/ML connects to real‑world impact.

UW is a research university with twelve colleges and schools enrolling approximately 11,000 students. The University prides itself on research innovation, teaching excellence, industrial engagement, and statewide impact. Faculty have access to state‑of‑the‑art facilities and major cyberinfrastructure investments, including the Advanced Research Computing Center (ARCC), the NCAR‑Wyoming Supercomputing Center (NWSC), GPU computing resources, and dedicated funding to support research growth. In addition, candidates with energy‑related expertise may qualify for funding support from the School of Energy Resources.

As part of this university‑wide commitment to AI advancement, UW is conducting a multi‑department AI Faculty Cluster Hire to recruit scholars who will join UW’s expanding community of researchers applying AI and data‑intensive methods to scientific, engineering, societal, and translational challenges. This cluster will support research and teaching across strategically important domains in the partnering academic units:

• Chemistry
• Chemical Engineering
• Electrical Engineering and Computer Science
• Energy & Petroleum Engineering
• Mathematics & Statistics
• Physics & Astronomy
• School of Computing
• School of Energy Resources

We are particularly interested in candidates whose expertise will advance or apply AI/ML in one or more of the following areas: