Tenure Track Assistant Professor in Applied AI (Atmospheric Science Focus Area)

13 January 2025 - 2 March 2025

The University of Wyoming is dedicated to advancing and expanding its expertise in AI while growing its research enterprise. As part of our AI Strategic Initiative, the School of Computing (SOC) in conjunction with other departments across campus are conducting a multi-department AI Faculty Cluster Hire to recruit exceptional scholars who will join the many faculty members already engaged in cutting-edge AI research and applications. Successful candidates are expected to hold joint appointments between the SOC and a department which focuses on the candidate’s area of specialized research. We are particularly interested in candidates with research expertise and interests to develop and apply novel AI and advanced data science techniques integrated with strategically important research areas.

The Department of Atmospheric Science (https://www.uwyo.edu/atsc/) sits within the College of Engineering and Physical Sciences and is one of the departments encouraging applicants to these positions. Successful applicants will hold a joint appointment in a vibrant department with a graduate program of 25-30 students and 7 academic faculty. In addition to the academic side of the department, the NSF Lower Atmosphere Observing Facility King Air research platform is hosted by the department and employs a further 15 research scientists, engineers, pilots, and technicians. In 2024 the new NSF Wyoming King Air was christened and in situ and remote sensing instrumentation provides a rich data stream for mining with AI. Departmental observational facilities are complimented by our cooperative agreement with the NCAR-Wyoming Supercomputing Center. The University of Wyoming has a dedicated allocation of 1/7 of the computer with priority given to geosciences. Potential applicants can harness this to allow them to explore problems that are typically beyond the resources available to a single PI.

We strongly encourage individuals from Atmospheric Science who have used machine learning and AI techniques to advance understanding of the Earth system to apply. A non-exhaustive list of example focus areas include:

• Earth system predictability
• Weather prediction
• Remote sensing development and interpretation
• Model parameterization development
• In situ data mining
• Interpretable AI/ML in Earth Science
• Inversions in Earth Science

For Department of Atmospheric Science-specific question contact Daniel McCoy at daniel.mccoy@uwyo.edu