Research Assistant Professor, DAS & ML for Seismic Sensing

The Pennsylvania State University; State College (Centre County); On-site; USD 90,000 - 130,000; Part time

Benefits offered by this job

75% tuition discount

Job summary

The Pennsylvania State University invites applications for a Research Assistant Professor in Distributed Acoustic Sensing and Machine Learning in the Department of Geosciences. The successful candidate will develop physics-based wavefield simulations, generate synthetic DAS data, and build deep-learning models for seismic event detection, location, and moment-tensor estimation.

The position involves publishing results, mentoring students, and collaboration with university and national-laboratory

Qualifications

• Ph.D. by the date of hire in a relevant field.
• Experience with DAS and seismic modeling is highly desirable.
• Experience with ML, scientific programming and HPC is desirable.

Responsibilities

• Develop physics-based wavefield simulations for DAS.
• Generate synthetic DAS datasets and build deep-learning models for detection, localization and moment-tensor estimation.
• Publish results, mentor students, and collaborate with partners.

Skills

DAS experience

seismic modeling

moment-tensor inversion

machine learning

deep learning

scientific programming

high-performance computing

Education

Ph.D. in geophysics, seismology, applied mathematics, or computer science

Job description

The Pennsylvania State University invites applications for a Research Assistant Professor in Distributed Acoustic Sensing and Machine Learning in the Department of Geosciences. The successful candidate will develop physics-based wavefield simulations, generate synthetic DAS data, and build deep-learning models for seismic event detection, location, and moment-tensor estimation.

The position involves publishing results, mentoring students, and collaboration with university and national-laboratory