Department of Statistics

Statistics Jobs

07/14/2017
Post-Doctoral Fellow
Colorado School of Mines

Company Information: Colorado School of Mines is a public research university devoted to engineering and applied science. It has the highest admissions standards of any public university in Colorado and among the highest of any public university in the U.S.
Mines has distinguished itself by developing a curriculum and research program geared towards responsible stewardship of the earth and its resources. In addition to strong education and research programs in traditional fields of science and engineering, Mines is one of very few institutions in the world having broad expertise in resource exploration, extraction, production and utilization. As such, Mines occupies a unique position among the world's institutions of higher education.
Since its founding in 1874, the translation of the school's mission into educational programs has been influenced by the needs of society. Those needs are now focused more clearly than ever before. The world faces a crisis in balancing resource availability with environmental protection and Mines and its programs are central to the solution.
Mines offers all the advantages of a world-class research institution with a size that allows for personal attention.

Position Title: Post-Doctoral Fellow

Duties and Responsibilities: We are currently accepting applications for a Post-Doctoral Fellow in the area of subsurface data science/engineering at Colorado School of Mines to participate in a National Science Foundation research project. The full time fellowship position is initially one year and can be extended to two years. The position will begin Sept 1 (or sooner if available).

Our research efforts focus on advancing knowledge through the intelligent fusion of geophysical, geological, geotechnical and in-situ monitoring data; the application of geostatistics to capture spatial variability; and the development of data-driven modeling and prediction techniques, including machine learning methods, to elucidate and potentially decrease spatial uncertainty. We work with rich multi-physics data sets from a number of earth dam and subsurface projects, including international sites with our PIRE collaborators.

Position Qualifications: The successful candidate will meet the following criteria:
1. A PhD in a related field (engineering, geophysics, applied math or statistics, computer science, operations research, etc.).
2. Experience designing and implementing state-of-the-art data analysis methodologies on large scale data.
3. The ability to work effectively as part of a multi-disciplinary team, plus the motivation and discipline to carry out autonomous research.
4. A record of science innovation and creativity.
5. A record of excellent written and oral communication skills.

Prior experience with the following is a plus but not necessary:
• utilizing high performance computing and/or cloud vendors
• geotechnical or other subsurface data and modeling.

Salary Range: $50,000-60,000 yearly

Benefits: The position provides excellent health care benefits.

Website: http://uct.mines.edu/

Application Information: To be considered for this position, please send a detailed CV, a cover email detailing your research experience and how it will qualifies you for this opportunity, 1-3 recent publications and contact information for three professional references to Professors Whitney Trainor-Guitton (wtrainor@mines.edu) and Mike Mooney (mooney@mines.edu). The review of applications will begin no later than Aug 1, 2017 and will continue until the fellowship position is filled. Please feel free to contact Whitney or Mike for more information.

Contact Email: wtrainor@mines.edu

Application Deadline: 09/30/2017