ML and Advanced AI Applications

University of Wyoming•Laramie, WY

17d•Onsite

About The Position

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 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 areas such as nuclear energy, energy, 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.

Requirements

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.

Nice To Haves

Demonstrated experience and/or strong interest in collaborative, interdisciplinary research, with the ability to work and communicate effectively across academic units.
Research interests aligned with areas offering strong potential for sustained external funding
Experience engaging external partners (e.g. industry, national laboratories, K-12, community colleges, government, nonprofits, innovation ecosystems) in co-designed research, education, or workforce-development initiatives.
Demonstrated experience and/or strong interest in collaborative, team-based curriculum development, including contributing to interdisciplinary courses, applied learning experiences, or innovative instructional models in computing and AI.

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.

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.

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