Department of Statistics

Statistics Jobs

09/09/2017
Tenured/Tenure Track, Multiple Positions, Open Rank
Applied Mathematics and Statistics, Colorado School of Mines

Company Information: The Department of Applied Mathematics and Statistics (AMS) at the Colorado School of Mines invites applications for multiple tenured/tenure track positions at any rank (assistant, associate, or full professor) with a start date of Fall 2018. Current areas of active research within our department are mathematical biology; model reduction; multiscale modeling and analysis; high-performance computing; scattering, diffraction and propagation of waves; computational fluid dynamics; fracture mechanics; integral equations; spatial/spatio-temporal data analysis; inverse problems; uncertainty quantification; spline collocation methods; meshfree methods; PDEs and kinetic theory. Applicants in any area of computational and applied mathematics or statistics will be considered. However, applicants whose expertise lies at or near the interface between these fields are strongly encouraged to apply. Given the unique opportunity of having multiple positions available, the Department encourages applicants who have a personal, professional or research connection with another applicant to share that connection upon submission of their applications.

Colorado School of Mines (Mines), Colorado’s oldest public university, is located in Golden, Colorado, in the foothills of the Rocky Mountains 13 miles west of Denver and 21 miles south of Boulder. Mines enrolls approximately 4500 undergraduate and 1300 graduate students in a broad range of applied science and engineering disciplines. Annual research funding is approximately $65 million. Mines’s 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. In addition, the school’s small size makes it easy for AMS faculty to form collaborations with faculty in geosciences and other disciplines on campus. The AMS Department offers Bachelor’s, Master’s, and Ph.D. degrees in both Computational and Applied Mathematics and in Statistics.

Position Title: Tenured/Tenure Track, Multiple Positions, Open Rank

Duties and Responsibilities: The successful candidate will be expected to teach at both the undergraduate and graduate levels and to develop a strong externally funded research program.

Position Qualifications: An earned Ph.D. in (applied) mathematics, statistics, or a closely related field, and a record of or demonstrated potential for excellence in research and teaching. A research focus that lies at or near the interface of computational and applied mathematics and statistics is desired. Evidence of interest, or successful involvement, in interdisciplinary collaborative research is desired. Applicants must provide evidence of research accomplishments and teaching competence. Excellent communication and interpersonal skills are required.

Salary Range:

Benefits: Salary and benefits will be commensurate with qualifications and experience, and will include a generous start-up package for basic equipment and professional development. Mines also provides an attractive benefits package including fully paid health insurance, dependent tuition benefits, parental leave policies and dependent care assistance through a flexible spending plan.

Website:

Application Information: A complete application consists of a cover letter, curriculum vita, statement of research interests and aspirations, a statement describing teaching experience or philosophy, and three or more letters of reference, at least one of which addresses teaching experience or potential. Applications received on or before December 1, 2017 will receive full consideration.

All materials must be submitted via MathJobs.org (https://www.mathjobs.org/jobs).

Contact Email:

Application Deadline: