at Colorado School of Mines
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Academic Faculty, Computer Science - AI/ML and Quantum ComputingTenure-Track Faculty Positions in Computer Science
The Department of Computer Science at the Colorado School of Mines (Mines) invites applications for two tenure-track faculty positions in Computer Science anticipated to begin in August 2025. The search is for faculty hires at the rank of Assistant Professor; however, exceptional candidates at higher ranks may 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), and Quantum Computing (e.g., quantum information theory, quantum machine learning, quantum cryptography, quantum error correction, and quantum algorithms).
Develop and maintain a vigorous, externally supported research program that enhances the overall research portfolio of the Department.
Develop and teach courses that are valuable to undergraduate and graduate students, both within computer science and across Mines.
Supervise and mentor undergraduate and graduate students.
Contribute both institutionally and professionally through active service.
Cultivate and promote an inclusive and diverse Mines community through recruiting, mentorship, collaboration, and service.
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.
Located in the foothills of the Rocky Mountains, Mines is a public R1 research university focused on applied science and engineering. The CS 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 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 in other departments, universities, hospitals (including CU-Anschutz Medical Campus), national labs, and industry partners.
The state of Colorado has emerged as a leading hub for quantum technology. A unique convergence of academic, governmental, and private sector resources in Colorado has led to a consortium dubbed “Elevate Quantum”, which has recently secured federal and state support to help lead the US quantum technology efforts. Colorado's vibrant ecosystem in high-tech, coupled with government investment and collaborations between academia and industry, has already attracted many leading quantum companies and researchers to the area. Critical to achieving the Elevate Quantum vision is the Quantum COmmons, a 70-acre site owned by Mines and dedicated to advancing quantum technology.
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 research environment among our faculty and also fosters many interdisciplinary collaborations across Mines and the broader Colorado research community. Mines faculty are also engaged in programs such as Colorado’s ElevateAI program to enhance AI literacy and transform education and workforce development. Along with Colorado’s designation as a Quantum Tech Hub, ElevateAI also creates a unique opportunity to explore the integration of quantum computing into K-12 education career pathways in partnership with statewide efforts. More information about the university and the CS Department can be found at http://mines.edu and http://cs.mines.edu. For any questions, please contact cs@mines.edu.
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 5500 undergraduate students and 1650 graduate students in a broad range of applied science and engineering disciplines. Mines maintains high-quality, well-funded research programs with strong participation from both graduate and undergraduate students. The 2022 edition of U.S. News and World Report’s America’s Best National Universities ranks Mines as the top-ranked university in Colorado, and 33rd in the category of Top Public Schools.
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.
The annual salary range for this position is as follows:
Assistant Professor: $ 110,160 – $121,800
Associate Professor: $117,000 – $139,000
Professor: $143,000 – $189,000
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.
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.
Review of applications will begin on October 31, 2024. For full consideration, please apply by December 15th, 2024. Applications received after this date may continue to be reviewed until the position(s) are filled. Applicants will be asked to complete an online application (personal information, demographic information, veteran status) and upload a CV and cover letter (required). 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. References will not be contacted until later in the selection process and you will be informed before that contact is made. Applications must specify in the application package to which rank they are applying.
The application must include:
a curriculum vitae, a statement of research (at most 2 pgs),
a statement of teaching (at most 2 pgs),
a statement of contributions to Diversity, Equity, and Inclusion (at most 2 pgs),
and a cover letter expressing interest in the position.
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 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.
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 https://www.mines.edu/diversity/ ). The diversity and inclusion statement should describe your past experience and should propose concrete research, teaching, and/or service activities that will advance access, inclusion, and diversity at Mines and beyond.
Please contact Kathleen Feighny in Human Resources at kfeighny@mines.edu with any questions.
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