PhD in Seismology at University of Texas at Dallas

USA – Fully Funded PhD in Seismology at University of Texas at Dallas

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University: University of Texas at Dallas

Country: United States

Deadline:

Fields: Seismology, Geophysics, Earth Sciences, Geology, Computational Science

Are you passionate about unraveling the mysteries behind earthquakes and eager to contribute to cutting‑edge research at the intersection of seismology and energy? If you’re seeking an opportunity to advance your expertise and make a real‑world impact on earthquake hazard assessment, the University of Texas at Dallas offers an outstanding PhD position in Seismology for Fall 2026.

The University of Texas at Dallas (UT Dallas) is a renowned public research university located in Richardson, Texas, part of the dynamic Dallas‑Fort Worth metropolitan area. As a member of the University of Texas System, UT Dallas is recognized for its rigorous academic programs, innovative research, and strong emphasis on STEM disciplines. The university boasts a vibrant, diverse campus community and state‑of‑the‑art research facilities, making it an ideal environment for graduate studies and interdisciplinary collaboration.

Students at UT Dallas benefit from proximity to major industry partners, abundant networking opportunities, and a supportive academic culture that fosters both personal and professional growth. Texas itself offers an affordable cost of living, a thriving scientific community, and access to a variety of cultural and recreational activities, making it an attractive destination for international scholars.

The PhD position centers on advancing the field of seismology, with a particular focus on understanding the mechanisms of induced and natural seismicity and their implications for energy production and public safety. Induced seismicity—earthquakes triggered by human activities such as reservoir management or energy extraction—has become an increasingly significant concern in recent years. By integrating advanced observational techniques, machine learning, and high‑resolution mapping, this research aims to improve our ability to monitor, model, and ultimately mitigate seismic hazards.

The findings will not only enhance scientific knowledge but also inform industry practices and public policy, contributing to safer and more sustainable energy development.

• Observational seismology:
  Advanced waveform analysis and machine‑learning‑enhanced analysis of induced versus natural events.
• Stress‑drop evolution:
  High‑resolution space‑time mapping using spectral methods for improved earthquake hazard assessment.
• Reservoir‑induced seismicity:
  Monitoring and modeling seismicity induced by reservoir level changes across the United States.
• Seismic‑aseismic coupling:
  Quantifying slow‑slip transients and their interplay with dynamic rupture using dense seismic array data.

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• A Master’s degree (or equivalent research experience) in seismology, geophysics, or a closely related field, with a GPA of at least 3.6/4.0 (or international equivalent).
• Demonstrated research output, such as a first‑author conference presentation or a peer‑reviewed publication (preprints under review are acceptable).
• Strong quantitative skills, evidenced by coursework or research in physics, geophysics, and numerical methods.
• Proficiency in programming, with fluency in Python (Obs Py) or Matlab, and a portfolio of code samples or a Git Hub repository.
• Excellent verbal and written communication skills, including strong English proficiency.
• A clear research trajectory and proven excellence…