Colorado School of Mines

Teaching Assistant Professor

Closes: May 10, 2026

Salary: $74,000 – $86,000 per year

Assistant Professor of Mathematics

Colorado School of Mines

Department of Applied Mathematics and Statistics

Engineering a world of possibilities

The Department of Applied Mathematics and Statistics (AMS) at the Colorado School of Mines (Mines) is seeking applicants for a full-time teaching faculty position to begin in August 2026. The position is non-tenure-track at the rank of Teaching Assistant Professor. The department is looking for superb educators who inspire students and engage in modern pedagogical approaches.

We are particularly interested in candidates with expertise in data science, statistics, numerical methods, and/or applied mathematics. Prior experience with innovative large-lecture (>100 student) course delivery in Calculus or Differential Equations is also preferred. The successful candidate will have the opportunity to teach undergraduate courses both in these areas and throughout the undergraduate curriculum. There may also be opportunities to teach courses at the graduate level. Further, the successful candidate will be expected to coordinate multi-section courses and collaborate effectively in curriculum development, innovative pedagogy, and other departmental service.

Review of applications will begin on March 1st, 2026, and applications will continue to be accepted until the position is filled.

For questions about this opportunity, contact Dr. Debra Carney, AMS search committee chair, at dcarney@mines.edu.

RESPONSIBILITIES

Develop and deliver course materials to undergraduate (and graduate) students in traditional, hybrid, and online platforms demonstrating teaching excellence and innovative pedagogical skills.
Contribute both institutionally and professionally through active service.
Collaborate across campus representing the AMS department.
Cultivate and promote an inclusive and diverse Mines community through recruiting, mentorship, and service.

MINIMUM QUALIFICATIONS

Ph.D. in a related discipline from an accredited program by the time of appointment.
Established record of successful teaching as an instructor of record at the undergraduate level for mathematics (Calculus 1 or higher), statistics, or data science courses.
Commitment to excellence in teaching and curriculum development at the undergraduate (and graduate) level.
Strong interpersonal and communication skills.

PREFERRED QUALIFICATIONS

Successful record of excellence in teaching and curriculum development based on best practices at the undergraduate (and graduate) level.
Experience teaching courses in collaborative team environment (e.g., a coordinated setting) and/or serving as a course coordinator.
Commitment to university and professional service through committee work, mentoring, or outreach.
Potential for teaching across the AMS curriculum include applied mathematics, statistics, and data science courses.

About Mines & The Applied Mathematics and Statistics 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 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.

TOTAL REWARDS