Engineering a world of possibilities The Colorado School of Mines (Mines), a public R1 research university focused on applied science and engineering, is excited to announce one faculty position in Data Science and Statistics with expertise in the application of data science to spatial and space-time data from problems throughout the geosciences. The Department of Applied Mathematics and Statistics (AMS) at Mines is seeking applicants for one tenure-track position at the rank of Assistant Professor with expertise in the fields of Data Science and Statistics with an anticipated start in Fall 2026. The position requires high-quality, academic teaching experience in data science and statistics at the intersection of theory and substantive applications, as well as a research focus on modeling and computation. The candidate will possess a strong record of academic scholarship that is commensurate with an academic appointment at the Assistant Professor level, including the demonstration of a strong record of research ability supported by peer-reviewed journal publications. The candidate will demonstrate evidence or the potential to support a vibrant research program based on external support from government, foundations, industry, or non-profit organizations. Specific preference will be given to candidates with expertise in the application of data science to spatial and space-time data including scientific problems in the geosciences, such as those involving the environment, energy systems, or the development of critical minerals. The candidate should demonstrate evidence of, or the potential for, engagement and leadership skills that will benefit the AMS department, the university, and professional societies, through active participation in committees and service to the scientific community. For questions about this opportunity, contact Soutir Bandyopadhyay, AMS search committee chair, at [email protected]. Successful candidates will contribute to the University’s mission of creating a sustainable global society by educating the next generation of scientists, engineers, and leaders, and by expanding the frontiers of knowledge through research. A high value is placed upon applicants who can collaborate across disciplinary boundaries and secure research funding from a diverse array of sources, including support from industry. Mines seeks to hire candidates who contribute to an outstanding university experience for our students through their education and preparation for careers after graduation. 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 NREL, NIST, NCAR, and NOAA), industry, and other universities. The Department of Applied Mathematics and Statistics at Mines has been notably successful in creating programs that draw on the strengths and richness from both the mathematical and statistical sciences. Our teaching and research are focused at the interface of Computational Applied Mathematics, Statistics, and Data Science allowing us to provide structure, rigor, and quantitative insights for the collaborative solution of data-driven problems that are a feature of the 21st century world. A common theme throughout much of the department’s activity is a focus on models and methods for “data” in its many forms: ranging from large remotely sensed observations to the often complex output from numerical models to subject responses in medical studies. This broad interest in mathematical models and substantive data has created a collegial research environment among our faculty and also fostered many interdisciplinary collaborations across Mines and the broader Colorado research community including research centers, academic hospitals, consortia, agencies, and national labs. AMS currently has a mix of 23 tenured/tenure track faculty and teaching faculty spanning applied and computational mathematics and statistics. We currently educate roughly 150 undergraduate majors and about 50 graduate students. The Department offers B.S., M.S. and Ph.D. degrees in Computational & Applied Mathematics and Statistics, and supports growing interdisciplinary programs in Data Science, Quantitative Bioscience & Engineering, and Operations Research with Engineering.
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Job Type
Full-time
Education Level
Ph.D. or professional degree