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.

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:

• 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.

This cluster hire consists of:

• Two (2) positions jointly appointed in the School of Computing and a partnering academic unit, and
• One (1) position appointed in Electrical Engineering and Computer Science (EECS) with the possibility of a joint appointment in another partnering academic unit.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Teach computing courses within own discipline, contribute to general computing education, mentor undergraduate and graduate researchers.
• Develop and sustain (assistant rank) or sustain and elevate (associate rank) an active, interdisciplinary research program in STEM applications, AI and Scientific Computing, or closely related area, leading to impact through peer-reviewed publications and/or software, data sets.
• Advance statewide impact of UW through research, economic development, social entrepreneurship, outreach, and/or engagement.

MINIMUM QUALIFICATIONS:

For Assistant Professor Rank

• Earned doctorate in an appropriate field related to the participating academic units by the appointment date
• Demonstrated research activity in STEM applications of AI/ML, AI and scientific computing or closely related areas
• Record of research productivity (e.g. peer-reviewed publications, datasets, software, or comparable outputs)
• Strong potential for securing external research funding
• Demonstrated commitment to, or experience in, teaching and mentoring students at the undergraduate and/or graduate level.

For Associate Professor Rank

• Earned doctorate in an appropriate field related to the participating academic units
• Demonstrated research activity and leadership in STEM applications of AI/ML, AI and scientific computing or closely related areas.
• Nationally recognized record of research productivity (e.g. peer-reviewed publications, datasets, software, or comparable outputs).
• Evidence of securing external research funding.
• Demonstrated commitment to, or experience in, teaching and mentoring students at the undergraduate and/or graduate level.

DESIRED QUALIFICATIONS:

• Demonstrated experience and/or strong interest in collaborative, interdisciplinary research, with the ability to work and communicate eff