Opportunity: The research carried about by this position will focus mainly on fiber-optic sensing (FOS) applications in the oil industry, ranging from seismic VSP, microseismic, low-frequency strain measurements, to production logging, leakage detection, and artificial lift monitoring. The successful candidate will be able to develop physical-based and machine-learning based models to interpret FOS data. The candidate will guide graduate-level students to advance research in the area as well as make his/her own contributions. The candidate will also lead the Python-based software development. RCP will provide appropriate data in the related research areas through multiple on-going projects.
Qualifications: Candidates must hold a Ph.D. from an accredited university and have a strong background in Physics, Mathematics, Signal Processing and Programming. Additional knowledge in Geophysics, Geology and Engineering would be valuable but is not required to apply.
To Apply: Applicants must submit a cover letter covering background and interests; undergraduate and graduate transcripts; resume (including: list of publications, list of any prior grants, computational knowledge); and three letters of recommendation. Application reviews will begin in October and continue until the position is filled.
Use the following link to apply:
https://jobs.mines.edu/en-us/job/494060/department-of-geophysics-postdoctoral-fellow-fiberoptic-sensing-applications
Noelle Vance
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