Tenure-Track Faculty in Computational Mathematics
Job no: 495281
Work type: Tenure/Tenure Track Faculty
Location: Golden, CO
Categories: Faculty (Academic/Research/Teaching), Applied Mathematics & Statistics
Tenure-Track Faculty in Computational Mathematics
The Department of Applied Mathematics and Statistics (AMS) at the Colorado School of Mines (Mines) invites applications for a tenure-track Assistant Professor position in Computational Mathematics. Qualified candidates with research specialization in one or more of the following areas are encouraged to apply: high-performance scientific computing, scientific machine learning, numerical solution of (stochastic) PDEs, computational linear algebra, and applications to scientific and engineering modeling, such as computational fluid dynamics, computational chemistry or computational materials science, as well as applications to geostatistics and other problems of societal relevance that address earth and environmental sciences. A faculty member successful in this position will be able to provide undergraduate and graduate students with a world-class educational experience, while conducting cutting edge research and meaningful service contributions. Mines is a great place to engage in education and research areas that will have a transformative impact on individuals and society, leading to shared prosperity and sustainable use of the Earth’s resources.
Successful candidates will share in the Mines vision in addressing the technical challenges of today’s global society through student education, professional leadership, and contributions to knowledge through applied research and scholarly activities. We highly value applicants who have the ability to collaborate across disciplinary boundaries and secure research funding from a diverse array of sources. As a department, we pride ourselves on providing an exceptional educational experience to our students and seek applicants who have the same passion for student learning and professional development, and for advancing the institution’s commitment to promote diversity and inclusion.
- Develop a research program with international stature and scholary recognition through publications and other modes of disseminating ideas.
- Develop a robust portfolio of externally funded support for research and training.
- Supervise and mentor undergraduate and graduate students.
- Develop and deliver course materials to undergraduate and graduate students in traditional, hybrid, and online platforms demonstrating teaching excellence and high-impact scholarship.
- Contribute both institutionally and professionally through active service.
- Cultivate and promote an inclusive and diverse Mines community through recruiting, mentorship, collaboration, and service.
- A Ph.D. in Computational Mathematics or a closely related field from an accredited institution by the time the appointment begins.
- Assistant Professor candidates must possess 0-5 years of post-Ph.D. experience in academic, research lab, and/or industry experience and accomplishments in a related field.
- Strong interpersonal, verbal and written communication, and teamwork skills.
- Demonstrated track record and/or commitment to diversity, access, and inclusion efforts.
- Track record of interdisciplinary collaboration across at least two fields.
- Successful record of teaching and research obtained via academic research, college-level teaching and/or industry or national lab experience.
- Demonstrated record of research publications in archival journals and conference proceedings.
- Demonstrated success in securing externally funded grants/contracts for those applying at the rank of Associate Professor or Professor.
|About the Department and Mines:
The Applied Mathematics and Statistics Department currently has 12 teaching faculty members and 12.4 tenured/tenure track faculty members spanning expertise in computational and applied mathematics as well as statistics. At present, the Department enrollment is approximately 145 undergraduate and 50 graduate students. The Department offers B.S., M.S., and Ph.D. degrees, all with a specialization in Computational and Applied Mathematics or Statistics. The Department is also a major contributor to an interdisciplinary Master’s degree in Data Science, interdisciplinary M.S. and Ph.D. degrees in Operations Research with Engineering, and interdisciplinary M.S. and PhD. Degrees in Quantitative Biology and Engineering.
Colorado School of Mines is located in picturesque Golden, at the foothills of the Rockies, 15 miles west of Denver and 20 miles south of Boulder. Mines was ranked the No. 4 best engineering college in the United States by Money Magazine in 2020. Mines’ location in the Denver/Boulder metropolitan area provides opportunities for collaborations with colleagues at other universities, in industry and at multiple government labs such as the National Renewable Energy Laboratory (NREL) and the United States Geological Survey (USGS) in Golden, or the National Center for Atmospheric Research (NCAR), the National Oceanic and Atmospheric Administration (NOAA) and National Institute of Standards and Technology (NIST) in Boulder. Annual research funding is approximately $87 million.
Mines produces scientists and engineers, well trained to work in industry, academia and government, known for their work ethic, problem-solving ability and teamwork. Part of this success is based on several initiatives aimed at enhancing teaching and the student experience, including our exceptional Trefny Innovative Instruction Center, which supports best practices for teaching and learning on campus (https://trefnycenter.mines.edu/). Our Center for Entrepreneurship and Education supports students and faculty to change the world through innovative thinking and entrepreneurial pursuits (https://innovation.mines.edu/). The Mines community has a Strategic Plan for Diversity, Inclusion, and Access, which supports a wide range of activities, including inclusive hiring, inclusivity in the classroom, cultivating a respectful and compassionate campus culture, family-friendly policies, expanding pathways for success, and ensuring shared responsibility (https://www.mines.edu/about/diversity-and-inclusion/).
Colorado School of Mines is known globally for the quality of its distinctive graduates, the success of its alumni and its unique expertise in topics related to earth, energy and the environment. Our core values include Inquiry and Innovation, Inspiration, Challenge, Openness, Respect, Diversity, Compassion, and Collaboration. Each of the values above facilitates our shared success, and the advancement of Mines and its mission; by our examples and by our encouragement we seek to foster these values throughout our community, and especially among our students, so as to inspire them to pursue excellence in our shared lives of inquiry and innovation. For more information visit https://www.mines.edu/president/planning/.
For more information about the Department of Applied Mathematics and Statistics and Math, visit https://ams.mines.edu/ and https://www.mines.edu/.
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.
Mines is offering total annual compensation range of: $87,900 - $93,900.00
Mines takes into consideration a combination of 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 brings proximity and access to several research centers, consortia, agencies, labs and leading edge technology. For more information, visit Mines benefits.
|How to Apply:
Applicants will be asked to complete an online application (personal information, demographic information, references, veteran’s status) and the documents listed below. References will not be contacted until later in the selection process and you will be informed before that contact is made.
Review of applications will begin on December 1st, 2021 and will continue until the position is filled. The application must include:
- A letter of interest that indicates your areas of expertise and career objectives (1-2 pgs);
- A statement of teaching and research experience and interests, with a description of any experience you have in online education. This may be submitted as a combined document (2-4 pgs) or two separate documents (1-2 pgs);
- A statement on contributions to diversity and inclusion, describing your past experiences and proposed activities to advance access, inclusion and diversity at Mines (1-2 pgs); and
- A curriculum vitae.
For further information, please contact Kathleen Feighny in Human Resources at email@example.com.
Research Statement: Candidates should describe how their research relates to and complements research activities and expertise at Mines, its expected impact, its relevance to Mines’ goals (e.g., earth, energy and environment), and current or future connections to industry and/or opportunities for entrepreneurship. Please be sure to describe any transdisciplinary aspects of your research. (For more information visit https://www.mines.edu/president/planning/ and https://research.mines.edu/our-research/).
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.
Diversity & 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/about/diversity-and-inclusion/). The diversity and inclusion statement should describe your past experience and proposed activities to advance access, inclusion, and diversity at Mines.
Please contact Kathleen Feighny, Human Resources, @firstname.lastname@example.org with any questions.
|Background Investigation Required:
|COVID-19 Vaccine Requirement
||Effective December 18, 2021, this position will require documented proof of full COVID-19 vaccination. New employees will be required to provide attestation to their status with proof of vaccination upon hire.
Religious and medical exemptions and reasonable accommodation shall be addressed as required by law pursuant to the Equal Employment Opportunity Commission’s vaccination guidance.
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