Assistant Research Professor - Distributed Acoustic Sensing and Machine Learning

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

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This is a term position; length of the term will be discussed during the interview process. Continuation past the termlengthdiscussed willbebasedonuniversityneed,performance,and/oravailabilityoffunding.

POSITION SPECIFICS

Research Assistant Professor - Distributed Acoustic Sensing and Machine Learning

The Department of Geosciences at Penn State seeks a Research Assistant Professor to support a project developing machine-learning methods for seismic source characterization using distributed acoustic sensing (DAS). The successful candidate will conduct physics-based wavefield simulations, generate synthetic DAS datasets, develop deep-learning models for seismic event detection, location, and full moment-tensor estimation, and validate these methods using field observations from earthquakes and controlled-source experiments. The position will also contribute to publications, project reports, student mentoring, and collaborations with university and national-laboratory partners.

Requirements

Candidates must hold a Ph.D. in geophysics, seismology, applied mathematics, computer science, or a related field by the date of hire. Experience in DAS, seismic modeling, moment-tensor inversion, machine learning, scientific programming, and high-performance computing is highly desirable.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

BENEFITS

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional wellbeing. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children.

For more detailed information, please visit ourBenefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)

CAMPUS SECURITY STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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