Data Science and Computational Seismology Lab
Research in developing and applying data analytics and computational algorithms to enable fast and high-fidelity multi-scale seismic imaging, with emphasis on dynamic monitoring the near-subsurface structure of the Earth. Potential projects include but are not limited to assimilating seismic data sets derived from passive, active, and ambient noise sources to image, monitor, and model (1) the spatial and temporal changes of active seismic and volcanic regions and (2) the interactions of water, life, soil, and rock in the Earth's critical zone. Candidates with strong background in seismic imaging and high-performance computing will be given priority. Experience with large data sets, machine learning, and GPU programming are desired. The successful candidate will be working with Dr. Min Chen. Preferred start date no later than September 1st, 2019, earlier if possible.
Applicants must specify an area of focus and faculty they want to work with in the cover letter of their application. Applicants must provide a Research Statement, Teaching Statement, Curriculum Vita, and three references. Applicants must apply through the MSU online system. http://careers.msu.
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