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

Job in Laramie, Albany County, Wyoming, 82057, USA
Listing for: Physics World
Full Time position
Listed on 2026-02-24
Job specializations:
  • Education / Teaching
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Asst/Assoc 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!

Why

Choose Us? Benefits
  • Generous Retirement Contributions:
    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:
    Enjoy access to medical, dental, and vision insurance with competitive employer contributions, that include 4 deductible options to suit your needs.
  • Paid Time Off:
    Benefit from ample vacation, sick leave, paid holidays, and paid winter closure.
  • Tuition Waiver:
    Employees and eligible dependents can take advantage of tuition waivers, supporting continuous education and professional growth.
  • Wellness and Employee Assistance Programs:
    Stay healthy with wellness initiatives, counseling services, and mental health resources.
Job Title

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

Job Purpose

As part of the University of Wyoming's (UW'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 a position designated at the Assistant Professor rank, candidates must demonstrate strong potential to build a nationally recognized, externally supported research program. For positions designated at the 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.

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
Areas of Interest
  • STEM applications:
    Applied AI/ML across partnering unit disciplines, with particular interest in energy systems (including nuclear, subsurface, petroleum, and advanced energy technologies), materials research, condensed matter physics, process engineering and control, critical minerals, quantum information sciences and engineering, cybersecurity and blockchain, and controlled‑environment agriculture.
  • AI and Scientific Computing:
    Research and tool development at the intersection of artificial intelligence and scientific computing including physics‑informed neural networks and digital twins; uncertainty quantification, high‑dimensional data analysis, and visualization; generative models for scientific discovery; integration of HPC and AI and AI‑enhanced numerical methods; explainable and trustworthy AI for STEM applications; and mathematically grounded approaches applied in STEM contexts, such as geometric and topological ML, neural ODEs/PDEs, reduced‑order modeling, structure‑preserving ML/AI, and optimization.
Cluster

Hire Composition
  • Two (2) positions jointly appointed in the School of Computing and a partnering academic unit.
  • One (1) position appointed in…
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