Postdoctoral Research Associate, Geosciences

The Department of Geosciences at the University of Arizona seeks a postdoctoral researcher in computational seismology with a focus on dense array monitoring of geothermal systems.

The postdoctoral researcher will join the Persaud Lab and will contribute to a transdisciplinary collaborative project that aims to utilize multiple phases of data collection to create time-lapse images of the study area in the southern Rio Grande rift, New Mexico. The central goals of the project are to construct high-fidelity subsurface models, quantify model uncertainties, integrate non-tomographic constraints and gravity modeling of the crustal structure, and contribute to an integrated modern geoscientific framework characterizing the geothermal potential of the system.

The initial appointment would be for one year. Previous experience in one or more of the following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and familiarity with multiple geoscientific data types including aeromagnetic and borehole data.

The successful candidate will be expected to work independently and collaboratively on a project requiring initiative, strong organizational skills, and effective communication. Responsibilities will include participating in workshops focused on subsurface characterization for energy and water resources applications, and supportively collaborating with students.

The start date is flexible, however October 2026 is preferred. Review of applications will continue until the position is filled.

Visa sponsorship is not available for this position.

Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!

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• Conduct computational seismology research focused on dense-array monitoring of geothermal systems.
• Contribute to multiple phases of data collection to develop time-lapse images of the study area.
• Construct high-fidelity subsurface models and quantify model uncertainties.
• Integrate non-tomographic constraints and gravity modeling of crustal structure.
• Contribute to an integrated geoscientific framework characterizing geothermal potential.
• Work independently and collaboratively on interdisciplinary research projects.
• Participate in workshops focused on subsurface characterization for energy and water resources.
• Collaborate with and support students.

• Ph.D. in Geophysics or a related field at the time of appointment.

• Experience in one of more of the following: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, and machine learning applications in observational seismology.

1. Current CV.
2. Cover letter including a short statement (2-3 pages) of research interests and experience related to the topic above.
3. The names and contact information of three professional references.