School of Computing
1000 E. University Ave.
Bureau of Mines Building, Room 231
Dept. 3395
Laramie, WY 82071
Phone: 307-766-5299
Email: uwyo-soc@uwyo.edu
Multiple Tenure-Track Assistant Professor Positions in Applied AI/ML and Big Data
The University of Wyoming (UW) is seeking to fill three tenure-track Assistant Professor positions in Applied Artificial Intelligence/Machine Learning (AI/ML) and Big Data. These positions are part of a cluster hire in the School of Computing in partnership with other academic departments. We seek faculty hires who will catalyze interdisciplinary collaboration, attract significant external research funding, and enrich our undergraduate and graduate students’ experience. The three positions are targeted around the broad areas of (1) new tools and novel approaches for enabling applications of AI/ML and Big Data; (2) Science, Technology, Engineering, and Mathematics (STEM) applications of AI/ML and Big Data; (3) applications of AI/ML and Big Data in the social and behavioral sciences and humanities.
The School of Computing is a new academic unit at the University of Wyoming that focuses on the application of computing in and across all disciplines, and on delivering new academic programs that provide students with important computing and digital skills across all disciplines. The school is fundamentally interdisciplinary, using translational research to leverage new and critical computing technologies for solving grand challenge problems in science and society.
The University of Wyoming has significant resources to support research computing and data science, including a long-term collaboration with the National Center for Atmospheric Research (NCAR) and the NCAR-Wyoming Supercomputer Center through which a significant fraction of resources is reserved for UW use. In addition, the university hosts the Advanced Research Computing Center, the Shell 3D Visualization Center, the Innovation Wyrkshop, and the Wyoming INBRE Data Science Core.The three positions are targeted around the broad areas of(1) new tools and novel approaches for enabling applications of AI/ML and Big Data
Partnering Academic Units and core areas of interest:
Department of Electrical Engineering and Computer Science: Enabling tools and use-inspired approaches in AI/ML including internet of things and edge computing.
Department of Mathematics and Statistics: Applications of AI/ML to mathematics, mathematical modeling and/or data science.
The Haub School of Environment and Natural Resources: Tools and approaches for edge computing and AI applications to natural resources including but not limited to wildlife trafficking and monitoring, water resource allocation and prediction, sustainable development and growth, climate change mitigation and energy use optimization and early wildfire detection.
Department of Zoology and Physiology: Tools and approaches to enable applications of AI/ML to animal behavior, evolutionary biology, neurobiology, population and community ecology, physiology, and wildlife and fisheries ecology.
(2) Science, Technology, Engineering, and Mathematics (STEM) applications of AI/ML and Big Data
Partnering Academic Units and core areas of interest:
Department of Atmospheric Sciences: Advance research of atmospheric processes and prediction by applying new and novel techniques to numerical weather and climate modeling and/or satellite algorithm development and data analysis.
Department of Botany: Computational evolutionary biology
Department of Chemical Engineering: Focus on computational tools such as ab initio methods, molecular dynamics simulations, machine learning, high throughput methods, mesoscale methods, thermodynamic models, and process modeling. This position will be a significant step in strengthening computational science research and multiscale modeling (ab initio, atomistic, mesoscale, continuum, data science) of next generation materials and biological systems.
Department of Physics and Astronomy: Time domain or multi-messenger astrophysics with a focus on rapid data processing and decision making.
Department of Zoology and Physiology: Applications of AI/ML to animal behavior, evolutionary biology, neurobiology, population and community ecology, physiology, and wildlife and fisheries ecology.
Haub School of Environment and Natural Resources: Edge computing and AI applications to natural resources including but not limited to wildlife trafficking and monitoring, water resource allocation and prediction, sustainable development and growth, climate change mitigation and energy use optimization and early wildfire detection.
(3) applications of AI/ML and Big Data in the social and behavioral sciences and humanities
Partnering Academic Units and core areas of interest:
Department of Anthropology: Computational archeology or cultural anthropology
Department of Criminal Justice and Sociology: Diverse interests broadly related to cybercrime (e.g., digital forensics, cyber security, cyber terrorism) and the intersection of data science with social science methods.
Department of History: Digital history with an emphasis on application of geospatial informatics, text analysis or data visualization.
Department of Psychology: Applications in clinical, social, cognitive, human factors, or legal psychology.
School of Politics, Public Affairs and International Studies: Social, economic and/or policy issues.
These positions will remain open until filled. Complete applications received by 11/30/22 will receive full consideration. Questions should be directed to the Search Committee Chair, Dr. Gabrielle Allen gdallen@uwyo.edu 1(307)766-5299.The University of Wyoming is an Equal Opportunity/Affirmative Action Employer, and is committed to equality in hiring opportunities, and to diversity of its workforce and students.
School of Computing
1000 E. University Ave.
Bureau of Mines Building, Room 231
Dept. 3395
Laramie, WY 82071
Phone: 307-766-5299
Email: uwyo-soc@uwyo.edu