- PhD in geophysics, data science related to geophysics, or a related field, or the equivalent combination of education and related experience.
- Significant experience with artificial intelligence, data intensive computing and/or machine learning techniques to seismology and/or geophysical problems in order to improve the understanding of the physics underlying problems of interest, as well as the ability to characterize uncertainties in results.
- Advanced knowledge within the seismological and geophysical community, including the detection, location, and characterization of seismic events.
- Ability to formulate novel solutions to seismological and/or geophysical problems.
- Advanced written, verbal and interpersonal skills to collaborate effectively in a team environment, present and explain technical information, and publish original scientific research.
- Experience developing software with C++, C, python, Java, R, Matlab or similar programming language, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, and/or machine learning algorithms.
- Record of single-authored or first-authored publications and funded proposals.
- Initiative and interpersonal skills and ability to work in a collaborative multidisciplinary team environment.
Qualifications We Desire - Experience with seismic monitoring applications, operations, forward and inverse modeling of subsurface problems, wave propagation modeling, and numerical methods including finite difference, finite volume, and/or finite element techniques.
- Understanding of the geomechanical behavior of subsurface faults and reservoirs, analyzing microseismic data and other field datasets, modeling subsurface fluid flow, and/or the underlying physical processes leading to induced seismicity.
- Experience with earthquake physics and nucleation, statistical seismology, operational earthquake forecasting, probabilistic risk assessment methods, and/or uncertainty quantification techniques.
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