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Tenured/Tenure-Track Faculty Positions, Department of Computer Science

Colorado School of Mines
Golden, Colorado, United States
Salary Not Specified
Date posted
Sep 7, 2023

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Tenured/Tenure-Track Faculty Positions, Department of Computer Science (Specialties in Machine Learning and AI, Systems, or Quantum Computing)

The Opportunity

The Department of Computer Science at the Colorado School of Mines (Mines) invites applications for two open rank tenured/tenure-track faculty positions in Computer Science anticipated to begin in August 2024. Preference will be given to the rank of Assistant Professor; however, exceptionally strong candidates at higher ranks will be considered. While all qualified candidates are encouraged to apply, the department is especially interested in candidates with research specialization in one or more of the following broadly defined areas: Machine Learning and AI (e.g., Machine Learning, Deep Learning, Big Data Computing, Computer Vision, and Bioinformatics), Systems (e.g., Networked systems, High-Performance Computing, Computer Architecture, and Embedded Systems), and Quantum Computing (e.g., quantum information theory, quantum machine learning, and quantum algorithms).

  • Develop and deliver course materials to undergraduate and graduate students, demonstrating teaching excellence and high-impact scholarship.

  • Supervise and mentor undergraduate and graduate students.

  • Establish and/or maintain a quality publication record.

  • Develop and maintain a strong, visible externally funded research program that will contribute to scholarly publication.

  • Contribute both institutionally and professionally through active service.

  • Cultivate and promote an inclusive and diverse Mines community through recruiting, mentorship, collaboration, and service.

Minimum Qualifications
  • Ph.D. from an accredited program in Computer Science or a closely related field relevant to the search areas by the time the appointment begins.

  • Record of publication at top-tier international conferences and/or journals in one or more of the search areas.

  • Commitment to excellence in teaching and curriculum development at both the undergraduate and graduate levels.

  • Demonstrated understanding of diversity, equity, and inclusion issues in higher education and a commitment to addressing these issues through concrete action.

  • Strong interpersonal and communication skills.

  • Assistant Professor candidates must demonstrate the potential for excellence in teaching, scholarship, and service.

  • Associate and Full Professor candidates must have an established and currently-funded program with clear potential for continuance, and a proven track record of success in teaching, research, and service. In addition, Full Professor candidates should have an established international reputation.

  • Evidence of externally funded research is required for an appointment with tenure.

About Mines & The Department

The CS Department currently has 17 tenured/tenure track faculty, 9 teaching faculty, and 1 Professors of Practice. The department offers a B.S., M.S., and Ph.D. in Computer Science with approximately 1000 undergraduate and 140 graduate students. From its inception, the Department of Computer Science has focused on basic and applied research that addresses problems of national interest. We maintain a high-quality, well-funded research program (e.g., four faculty recently received NSF CAREER Awards) with strong participation from students at both the graduate and undergraduate levels. The CS faculty tend to work collaboratively (with researchers from both within the department and outside), with several faculty involved in Mines interdisciplinary programs in Quantum Engineering , Data Science , Quantitative Biosciences and Engineering , Operations Research with Engineering , and Robotics . In particular, Mines has launched one of the nation’s first Interdisciplinary quantum engineering (QE) master’s programs and has been involved in developing a national quantum education policy and helping shape international quantum cooperation initiatives.

As such, successful candidates are expected to interact with researchers both within the department and across the Mines campus and are encouraged to be involved with our interdisciplinary programs. The CS department has strengths in multiple areas including robotics, high-performance computing, networks, machine learning, and cybersecurity. More information about the university and the CS Department can be found at and For any questions, please contact

Colorado School of Mines, Colorado's oldest public university, premier engineering university, and an R1 institution, is located in Golden, Colorado: a historic gold rush-era town nestled in the foothills of the Rockies, 13 miles west of Denver and 21 miles south of Boulder. Mines is consistently ranked among the top engineering colleges in the United States and ranks number one as the best public school in the state for best value colleges. Mines has about 5600 undergraduate students and 1600 graduate students in a broad range of applied science and engineering disciplines. Mines maintains high-quality, well-funded research programs (~$88M in awards for fiscal year 2023) with strong participation from both graduate and undergraduate students. The 2023 edition of U.S. News and World Report’s America’s Best National Universities ranks Mines as the top-ranked university in Colorado, and 38th in the category of Top Public Schools. In addition, in the most recent ranking of Computer Science Programs in the U.S., CS@Mines was ranked in the top 5%. In 2022 Mines was ranked 3rd on the list of best engineering colleges by Money Magazine. Mines has the highest admissions standards of any public university in Colorado and among the highest of any public university in the U.S. The School’s proximity to Denver and Boulder provides opportunities for significant collaboration with government labs (including NREL, NIST, NCAR, and NOA), industry, and other universities.

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, affirmative action, equal opportunity, and equal access is reflected in the administration of its policies, procedures, programs, and activities and in its efforts to achieve a diverse 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 inequity or concerns for safety.

Pay Range

Mines is offering an academic year salary rate of:

Assistant Professor: $105,000 – $118,000

Associate Professor: $122,000 – $140,000

Professor: $145,000 – $180,000

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 level for potential new employees.

Total Rewards

Mines is proud to provide exceptional benefits that include pay, health & wellness, and work/life balance offerings. Our portfolio of benefits includes medical, dental, vision, disability insurance, flexible spending accounts, life insurance, and retirement savings plans. Additionally, Mines employees are eligible for tuition benefits (for employees and dependents), generous paid holidays and leaves, and discount programs. Additionally, Mines’ leadership and innovation bring proximity and access to several research centers, consortia, agencies, labs, and leading-edge technology. For more information, visit Mines benefits .

How to Apply

Review of applications will begin on October 1, 2023. For full consideration, please apply by December 15th, 2023. Applicants will be asked to complete an online application (personal information, demographic information, references, veteran status). References will not be collected or contacted until later in the selection process and you will be informed before contact is made. Applications must specify in the application package to which rank they are applying. Applicants will notice on the application form there is one location to upload all required materials. Further, once submitted, you will not be able to edit your 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 and interest in the position (at most 4 pgs),

  • a statement of teaching (up to 2 pgs),

  • and a statement of contributions to Diversity, Equity, and Inclusion (up to 2 pgs).

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 past history of successful research as well as plans for future research at Mines, and 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 and ).

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

Contributions to Diversity, Equity, and Inclusion: Candidates should submit a statement on Contributions to Diversity and Inclusion. Mines is committed to access, inclusion, and diversity and is actively developing a strategic plan to advance Diversity, Inclusion, and Access (for more information visit ). CS@Mines' Broadening Participation in Computing (BPC) plan can be found at . The diversity and inclusion statement should describe past experience and should propose concrete research, teaching, and/or service activities that will advance access, inclusion, and diversity at Mines and beyond. Candidates are strongly encouraged to connect their proposed activities to those described in the department's BPC plan.

Please contact, Kathleen Feighny, in Human Resources, at
with any questions.

Background Investigation Required: Yes

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