Computational Science and Data Analytics Faculty Positions

Apply now Job no: 494587
Work type: Tenure/Tenure Track Faculty
Location: Golden
Categories: Geology & Geological Engineering, Applied Mathematics & Statistics, Computer Science, Economics & Business, Civil & Environmental Engineering, Geophysics, Mining Engineering, Petroleum Engineering

Position Titles: Computational Science and Data Analytics Faculty Positions
Focus Areas:

Aligned with the Colorado School of Mines (Mines) emphasis on Earth, Energy and Environment, the institution is focused on addressing major societal challenges at the intersection of its traditionally strong disciplinary tracks. To strengthen these efforts, Mines has initiated a search to recruit highly talented interdisciplinary faculty.

We invite applications from candidates with expertise in broad disciplinary areas associated with the fields of Computational Science and Data Analytics. Candidates who have demonstrated the potential for conducting high impact research and teaching are highly desired. The successful candidates will be placed in various departments across campus where they best fit for teaching and research synergies, and joint appointments will be considered as appropriate.

Specific interests for this cluster include positions in:

  • Computational Mathematics and Data Science Methods with particular interest in algorithm analysis and development, high performance computing, and applications to scientific and engineering modeling as well as statistical and machine learning and data analysis.
  • Business Analytics with particular interest in Business/Data Analytics, Management Science, Operations Research, Industrial Engineering, or a closely related data-analytics discipline to develop and support the quantitative business programs on campus.
  • Applied Data Science and Machine Learning with particular interest in data science, data analytics, geostatistics, machine learning and other artificial intelligence techniques to address earth and environmental science problems of societal relevance.
  • Computational Hydrology with particular interest in surface water hydrology, groundwater hydrology, hydrogeophysics, “big data” hydrology, or large-scale modeling of hydrologic systems.

More details about the positions can be found HERE.

Anticipated home departments include, but are not limited to Applied Mathematics and Statistics, Civil and Environmental Engineering, Computer Science, Economics and Business, Geology and Geological Engineering, Geophysics, Mining Engineering, and Petroleum Engineering.  

For further information, please contact the search chair, Prof. Kamini Singha at ksingha@mines.edu.

Responsibilities:
  • Develop and deliver course materials to undergraduate and graduate students in traditional, hybrid, and online platforms demonstrating teaching excellence of high-quality and high impact scholarship. 
  • Supervise MS and PhD degree students.
  • Establish and/or maintain a quality publication record.
  • Develop a strong active externally-funded research program.
  • Contribute both institutionally and professionally through active service.
  • Cultivate and promote an inclusive and diverse Mines community through recruiting, mentorship, and service.
  • Collaborate across campus in the areas of Computational Science and Data Analytics.
Minimum Qualifications:
  • Ph.D. in a related discipline from an accredited program by the time the appointment begins.
  • Strong interpersonal and communication skills. 
  • Commitment to excellence in teaching and curriculum development at both the undergraduate and graduate levels.
  • Assistant Professor candidates must possess academic, research lab and/or industry experience and accomplishments in a related field.
  • Associate and Full Professor candidates should have similar credentials as Assistant Professor candidates as well as national distinction and a substantial record in research, teaching and/or service. In addition, Full Professor candidates should have an established international reputation.
Preferred Qualifications:
  • Successful record of teaching and research obtained via academic research, college-level teaching and/or industry or national lab experience.
  • Commitment to diversity, inclusion and accessibility.
  • Demonstrated success in securing externally funded grants and contracts for those applying at the rank of Associate Professor or Professor.
  • Demonstrated record of research publications in archival journals and conference proceedings. 
About Mines and Golden, CO: Colorado School of Mines is a public institution dedicated to education and research in science and engineering. Located in picturesque Golden, Colorado, in the foothills of the Rockies, 15 miles west of Denver and 20 miles south of Boulder provides opportunities for significant collaboration with government labs and industry, as well as with other universities. Mines is home to approximately 5,100 undergraduate and 1,500 graduate students of which 30% are female and 10% are international. Faculty at Mines have been involved in research and education relating to the earth, energy, and the environment since its founding in 1874. Colorado School of Mines was ranked the No. 4 best engineering college in the United States by Money Magazine in 2020. Campus academic and research faculty received $78.3 million in research awards in fiscal year 2020.
How to Apply:

Interested applicants should apply online as soon as possible but before January 4th, 2021. The search committee will start reviewing applications on December 15, 2020, and applications will be reviewed on an ongoing basis until the position is filled.

Applicants must submit:

  • A letter of application that indicates your preferred department and cluster area,
  • A statement of teaching experience and interests, with a description of any experience you have in online education,
  • A statement of research experience and interests,
  • A two-page statement on contributions to diversity and inclusion, describing your past experiences and proposed activities to advance access, inclusion and diversity at Mines,
  • A curriculum vitae, and
  • Names and contact information for three professional references. 

For further information, please contact Kathleen Feighny in Human Resources at kfeighny@mines.edu.

Diversity Commitment: 

Mines is an Equal Opportunity/Affirmative Action employer and recognizes that diversity is crucial to our pursuit of excellence in education and research. Mines is committed to developing students, faculty, and staff populations with differing perspectives, backgrounds, talents. As such, Mines welcomes applications from minorities, women, veterans, and persons with disabilities and those who have experience working in settings with students from diverse backgrounds and who possess a demonstrated commitment to improving access to higher education for historically underrepresented students. For more information visit https://www.mines.edu/about/diversity-and-inclusion/

Compensation: Starting salary will be determined by the qualifications of the selected applicant balanced with departmental budget availability, internal salary equity considerations, and available market information. Mines provides an attractive benefits package including fully paid health and dental insurance. Part of Mines' mission is to create a family-friendly environment supported through our dependent tuition benefits, parental leave benefits, and dependent care assistance plan, as well as in special events, camps, and programming. For more information visit: family.mines.edu
Background Investigation Required: Yes

Advertised: Mountain Standard Time
Applications close:

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