Post-Doctoral Fellow

Apply now Job no: 492849
Work type: Research Faculty or Associate
Location: Golden
Categories: Faculty (Academic/Research/Teaching)

Position Title: Post Doctoral Fellow
Job Description:

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 September 1, 2017, (or sooner if available).


The selected fellow will work with Professors Whitney Trainor-Guitton in Geophysics and Mike Mooney in Civil-Geotechnics Engineering, and will interact with numerous students across geophysics, statistical sciences, civil and geological engineering, and computer science. The selected fellow will also collaborate with our NSF grant colleagues in the Netherlands, including participating in research meetings abroad.

Minimum 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.
Preferred Qualifications:

Prior experience with the following is a plus but not required:

  • utilizing high performance computing and/or cloud vendors
  • geotechnical or other subsurface data and modeling
Department Description:

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. 

How to Apply: Applicants will be asked to complete an online application (personal information, demographic information, references, veterans status) and upload a detailed CV, a cover letter detailing your research experience and how it will qualifies you for this opportunity. and 1-3 recent publications (required). 

The review of applications will begin no later than August 1, 2017 and will continue until the fellowship position is filled. Please feel free to contact Professors Whitney Trainor-Guitton ( or Mike Mooney ( for more information.

Background Investigation Required: Yes

Advertised: Mountain Daylight Time
Applications close:

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