Position Description

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 sbandyopadhyay@mines.edu.

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.
 

RESPONSIBILITIES

• Develop and maintain a vigorous, externally funded research program that enhances the overall research portfolio of the AMS department
• Develop and teach courses that are valuable to undergraduate and graduate students, both within AMS and across Mines.
• Supervise and mentor undergraduate and graduate students in research and coursework, including through leadership and collaboration. 
• Contribute both institutionally and professionally through active service. 
  

MINIMUM QUALIFICATIONS 

• Ph.D. from an accredited program in Data Science, Statistics, or a closely related field
• Research experience in an academic, research lab, and/or industry environment  with a record of peer-reviewed publications in statistics and/or data science
• Demonstrated potential for excellence in research, teaching, and student mentorship.
• Strong interpersonal, verbal, and written communication skills
• A positive trajectory towards establishing a funded and impactful research program with clear potential for continuance in this regard. 
   

About Mines & The AMS 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 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. For more information about the Department of Applied Mathematics and Statistics see https://ams.mines.edu.

TOTAL REWARDS
 

Assistant Professor:  $98,500 – $111,000 

Mines takes into consideration a combination of the candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion, and latitude required in the role, work location, and external market and internal value when determining a salary rate for potential new employees.
 

Colorado School of Mines offers a robust portfolio of benefits for all employees. For this role, that includes: 

• Flexible health and dental care options
• Fully vested retirement plan on first day of employment, with generous employer contribution of 12%
• Tuition benefits (6 credits per year for employees, 50 percent discount for dependents)
• Access to an on-campus daycare center
• Free RTD Ecopass for regional bus and light rail transportation

All Mines employees also have access to discount programs through the State of Colorado and free tickets for Mines Athletics home games, as well as access to the state-of-the-art Recreation Center (fitness classes and training, swimming pool and more) and equipment rentals through the Outdoor Recreation Center. We are proud to have recently opened an on-campus daycare center. For more details about benefits at Mines, visit https://mines.edu/human-resources/benefits. 

HOW TO APPLY

Priority review of applications will begin on March 1st, 2026, and will continue until the position is filled. The desired start date is August 2026.

Applicants will be asked to complete an online application (personal information, demographic information, references, veteran status) and upload the below documents (required). References will not be collected or contacted until later in the selection process and you will be informed before that contact is made. Applicants will notice on the application form, there is only one location to upload all required materials. Further, once submitted, the applicant will not be able to edit their application. Applicants may submit their application as one combined document or as separate documents. The application must include: 

• a curriculum vitae, 
• a statement of research (at most 4 pgs), 
• a statement of teaching (at most 2 pgs), 
• a cover letter expressing interest in the position, and 
• up to three representative research papers (PDFs) that best reflect the applicant’s scholarly contributions. 

Research Statement: Candidates should describe how their research relates to and complements research activities and expertise at Mines, its expected scholarly and societal impact, its relevance to Mines’ goals (e.g., earth, energy, and environment), and current or future connections to industry and/or opportunities for entrepreneurship. The statement should cover both the candidate's history of successful research as well as their plans for future research at Mines, and their plans for obtaining external funding for that future research. Candidates should also be sure to describe any transdisciplinary aspects of their research. (For more information visit https://research.mines.edu ). 
 

Teaching Statement: Mines is committed to high-quality, hands-on, and project-based learning. Additionally, Mines is growing its online MS non-thesis degree programs. Candidates should cover their in-person and hands-on teaching pedagogy and be prepared to describe any experience they have in online education.  

Additional Information and Reasonable Accommodation Requests
It is the intent of Mines to comply with the applicable requirements of the Americans with Disabilities Act and the Americans with Disabilities Act Amendments Act of 2008, and their implementation rules and regulations, in support of equal opportunities for qualified applicants with disabilities. To meet this goal, Mines will make reasonable accommodations during the employment selection process and within our working environment.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on our site as a result of your disability. You can request a reasonable accommodation by contacting our Human Resources team at hr@mines.edu or 303.273.3250 for assistance.

Successful completion of a background investigation is required for this position.

Equal Opportunity

Colorado School of Mines is committed to equal opportunity for all persons. Mines does not discriminate on the basis of age, sex, gender (including gender identity and gender expression), ancestry, creed, marital status, race, ethnicity, religion, national origin, disability, sexual orientation, genetic information, veteran status or current military service. Further, Mines does not retaliate against community members for filing complaints regarding or implicating any of these protected statuses.

Mines’ commitment to nondiscrimination, equal opportunity and equal access is reflected in the administration of its policies, procedures, programs and activities and in its efforts to achieve a talented student body and workforce.

Through its policies, procedures and resources, Mines complies with federal law, Colorado state law, administrative regulations, executive orders and other legal requirements to prevent discrimination (including harassment or retaliation) within the Mines campus community and to address potential allegations of inequality or concerns for safety.

Colorado's premier engineering and applied science university for 150 years and counting