Deep Learning Graduate Research Assistant on Seismic Data Analysis

Website Los Alamos National Laboratory

We have an immediate opening for a creative and resourceful Graduate Research Associate with strong deep learning, programming, and computational science skills. As a Research Associate, the selected candidate will develop novel deep learning techniques and apply them to various seismic applications such as subsurface characterization and monitoring, earthquake detection, seismic imaging and inversion. The term of the appointment is 1 to 2 years; depending on the performance and funding availability there are opportunities to extend the appointment by transitioning to other types of LANL positions.

Minimum Job Requirements:
+. Record of proficiency in deep learning frameworks such as PyTorch, TensorFlow, Caffe2, or Keras
+. Record of proficiency in Python
+. Demonstrated ability to work independently and as a member of a team, with good communication skills
+. Demonstrated ability to quickly learn new skills and knowledge in a fast-paced research environment
+. Experience in development of any of the following applications using seismic data: subsurface characterization and monitoring, earthquake detection, seismic imaging and inversion
+. Can provide sample code of previous work
+. Publication record in high-impact journals would be a significant advantage

+. Completion of a Master’s degree in Geophysics, Computer Science, Electrical Engineering, Applied Mathematics, Computational Sciences, or a related field within the past 3 years (ongoing Ph.D. students without a Master degree are qualified for this position.)
+. Cumulative GPA of at least a 3.2 is required

The position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

Please see more details and directly apply at and search for IRC75089 or through the following link:

As part of the application process, please upload your transcripts, cover letter, and resume. In addition to applying on-line, please send a cover letter detailing qualifications, a curriculum vitae/resume, and names of three references to Dr. Youzuo Lin ( and Dr. Brendt Wohlberg ( The positions remain open until they are filled.

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