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of hire. Preferred Qualifications Strong data science skills and demonstrated research experience in analyzing data, such as output from regional-scale hydroclimatic models and hydrologic models related
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a wide variety of energy related research while integrating observations with other subdisciplines including geophysics, engineering, data science, and economics. This is for a position at J.J. Pickle
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sciences or engineering with research experience in geothermal energy. Proven capacity for innovative, creative scientific analysis Excellent data management skills Proven publication skills and verbal
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion
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part of the Jackson School of Geosciences, which houses top research programs across a range of areas in Earth and Planetary Sciences. UTIG is also closely allied with the Texas Advanced Computing Center