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Prospective Students and Postdocs in the Martin Group
Our group regularly has funded research projects going on that can support research assistants. Email me if you’re a motivated, curious prospective postdoctoral researcher, graduate student or undergrad student interested in doing research on:
- imaging science
- inverse problems
- computational science, high performance computing
- scientific machine learning
- seismic imaging and source characterization
- data compression
- working with large streaming data sets
- fiber-optic sensing (or other large-scale geophysical sensing methods)
- signal processing
Here are links with more details about Mines’ M.S. and Ph.D. programs in:
The specific requirements vary by program, but all students in the group must work with an interdisciplinary team. To ensure some common knowledge that facilitates student-to-student collaboration across programs, applicants should have prior coursework or self-study including: programming, differential equations, linear algebra, probability & statistics, mechanics, and electricity & magnetism.
Graduate and Postdoctoral Fellowships
For prospective Ph.D. students who are US citizens or permanent residents, I encourage you to contact me so we can collaborate as you apply for:
I also encourage prospective postdocs who are interested in applying for a grant together, or for a postdoctoral fellowship to contact me if you would like to develop a proposal to collaborate. Here are just a couple of opportunities:
Undergraduate Research Funding
Get in touch with me if you are interested in doing paid undergraduate research through MURF or SURF, both of which are open to undergrads at Mines. If you are interested in doing paid summer undergraduate research with me related to an NSF-funded project list below, please contact me at least 9 months in advance so we can apply for an undergrad research supplement (not restricted to Mines undergrads). Current projects elligible to apply for undergrad research supplements: mine seismicity, permafrost thaw monitoring and remote large-scale seismic data mananagement, scalable algorithms for passive seismic data, and the Distributed Acoustic Sensing Data Analysis Ecosystem.