Assistant Research Professor: DAS & ML Seismology

Penn State; Northern (KY); Hybrid; USD 95.000 - 125.000; Vollzeit

Benefits dieser Stelle

Medical/dental/vision benefits

Retirement plans

75% tuition discount

Zusammenfassung

The Department of Geosciences at Penn State University invites applications for an Assistant Research Professor to advance distributed acoustic sensing and machine-learning methods for seismic source characterization. The role focuses on physics-based wavefield simulations, synthetic DAS datasets, and ML models for event detection, location, and moment-tensor estimation.

The successful candidate will contribute to publications, project reports, mentoring, and collaborations with national-lab

Qualifikationen

• PhD in geophysics or related field by hire date.
• Experience in DAS, seismic modeling, moment-tensor inversion, machine learning, scientific programming, and high-performance computing.

Aufgaben

• Conduct physics-based wavefield simulations and generate synthetic DAS datasets.
• Develop deep-learning models for seismic event detection, location, and full moment-tensor estimation.
• Validate methods using field observations from earthquakes and controlled-source experiments.
• Contribute to publications, project reports, student mentoring, and collaborations with university and national-lab partners.

Kenntnisse

DAS (Distributed Acoustic Sensing)

Seismic modeling

Moment-tensor inversion

Machine learning

Scientific programming

High-performance computing

Ausbildung

PhD in geophysics / seismology / applied mathematics / computer science

Tools

Python

TensorFlow / PyTorch

Jobbeschreibung

The Department of Geosciences at Penn State University invites applications for an Assistant Research Professor to advance distributed acoustic sensing and machine-learning methods for seismic source characterization. The role focuses on physics-based wavefield simulations, synthetic DAS datasets, and ML models for event detection, location, and moment-tensor estimation.

The successful candidate will contribute to publications, project reports, mentoring, and collaborations with national-lab