Assistant Professor or Professor of Practice, AI​/Machine Learning

Overview

Department Information

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About Mines & The CS Department

Colorado School of Mines, Colorado's oldest public university, produces talent, knowledge and solutions that serve industry and benefit society—all to create a more prosperous future. Mines has about 6400 undergraduate students and 1900 graduate students in a broad range of applied science and engineering disciplines. Mines maintains high-quality, well-funded research programs (~$106M in awards for fiscal year 2024) with strong participation from both graduate and undergraduate students.

The 2026 edition of U.S. News and World Report ranks Mines as a top 100 university. Mines has the highest admissions standards of any public university in Colorado and among the highest of any public university in the U.S. Located in Golden, Colorado, Mines has close proximity to Denver and Boulder, providing opportunities for significant collaboration with government labs (including NLR, NIST, NCAR, and NOAA), industry, and other universities.

The Computer Science Department consists of 27 full-time faculty and hosts a thriving research program focusing on algorithms, human-centered computing, machine learning & data science, robotics, security & privacy, and computer systems. The department educates approximately 1000 undergraduate and 140 graduate students, offers B.S., M.S., and Ph.D. degrees in Computer Science, and supports growing interdisciplinary programs in Quantum Engineering, Data Science, Robotics, Quantitative Biosciences and Engineering, and Operations Research with Engineering.

The CS faculty often advise graduate students in these programs, and they work collaboratively with researchers across other departments, universities, hospitals (including CU-Anschutz Medical Campus), national labs and industry partners. More information about the university and the CS Department can be found at https://(Use the "Apply for this Job" box below). and https:// For any questions, please contact cs.

About AI At Mines & Colorado

The computer science faculty integrate machine learning, artificial intelligence, and data sciences into much of their teaching and research, allowing them to provide structure, and quantitative insights for collaborative solutions of data-driven problems. This broad interest in AI/ML and data sciences more generally has created a collegial teaching and research environment among our faculty and also fosters many interdisciplinary collaborations across Mines and the broader Colorado research community.

Led by the Trefny Innovative Instruction Center, Mines is actively embarking on creative and effective means of integrating AI into its classes (from introductory to advanced graduate-level courses). Mines faculty are also engaged in programs such as Colorado’s Elevate

AI program to enhance AI literacy and transform education and workforce development.

Description Of Job

The Opportunity:

The Colorado School of Mines, a public R1 research university focused on applied science and engineering, is excited to announce an open faculty position in Computer Science focused in the areas of Artificial Intelligence (AI), Machine Learning (ML) and Data Science (DS). The hire will expand our teaching and research efforts in these areas and be a key player in accelerating scientific discoveries across disciplines at Mines through innovative integration of modern AI and data analytics techniques.

The Department Of Computer Science Invites Applications For Either a Professor Of The Practice (PoP) Faculty Position Or a Tenure-track Faculty Position In The Broadly Defined Area Of Machine Learning And AI, With An Anticipated Start In Fall 2026. We Seek a Creative And Ambitious Researcher Whose Work Complements And Expands Our Strengths In Computer Science, Applied Math, And Applied Interdisciplinary Engineering.

Candidates Whose Research Bridges Multiple Subfields, Connects With Industry Or National Laboratories, Or Integrates Experimental And Theoretical Approaches Are Especially Encouraged To Apply. Areas Of Interest Include

• Machine Learning (supervised, unsupervised,…