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Los Alamos National Laboratory
Los Alamos, New Mexico, United States
17 days ago


Postdoc in Computational Seismology (Machine Learning, Seismic Inversion, and Earthquake Physics)

We have an immediate opening for a creative and resourceful postdoctoral researcher with strong computational skills and experience in machine learning, seismic inversion, and/or earthquake physics techniques. We are seeking a highly motivated individual to join a multidisciplinary research team consisting of geophysicists, machine learning experts, and computational scientists to conduct cutting-edge physics-informed machine learning research for various challenging geophysical problems including seismic imaging, inversion, earthquake detection, and characterization.

The research is expected to produce peer-reviewed publications in high-impact journals and top-tier conferences. The term of the appointment is 2 years, with the option to extend to a third-year depending on performance and funding availability. Candidates may be also nominated for a Director's LANL Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines LANL Distinguished Fellowships.


Minimum Job Requirements:

  •     Solid background in seismic inverse theory (inversion and imaging) and/or earthquake physics (earthquake detection and characterization)
  •     Strong computational and deep learning skills with practical experience in various neural network architectures (DNN, CNN, RNN/LSTM, GAN, or other autoencoders)
  •     Practical experience with deep learning packages such as PyTorch, TensorFlow, Keras, etc.
  •     Code development and computational experience in using high-performance parallel computing resources
  •     Solid publication record in high-impact journals, top-tier machine learning, and related conferences.
  •     Excellent communication, writing, and oral presentation skills, and
  •     Strong programming skills with Python

Education: A Ph.D. in Geophysics, Computer Sciences, Applied Math, Computational Sciences, Electrical Engineering, or closely related field is required. The candidate must have completed all Ph.D. requirements by commencement of the appointment and be within 5 years of completion of the Ph.D.

Desired Qualifications:

  •     Deep-learning-based seismic inversion and earthquake characterization techniques
  •     Excellent publication record

Note to Applicants:

  •     The application package consists of a CV and a cover letter. Your cover letter should explicitly address how you meet each of the minimum requirements and any of the desired skills, if applicable. In addition to applying online, applicants may email their CV and cover letter to Dr. Youzuo Lin ( ) and Dr. Brendt Wohlberg ( ).
  •     LANL offers an excellent working environment and competitive compensation and benefits package. The postdoctoral researchers start with a minimum annual salary of $79,500.
  •     For general information about the application processes refer to the LANL Postdoctoral Program page,
  •     Selection of position will start immediately, and continue until the position is filled.
  •     To apply, please search for IRC86471 under; or use the following direct link to the position:

Job Information

  • Job ID: 57762576
  • Location:
    Los Alamos, New Mexico, United States
  • Position Title: Postdoc in Computational Seismology (Machine Learning, Seismic Inversion, and Earthquake Physics)
  • Company Name: Los Alamos National Laboratory
  • Economic Sector: Research Laboratory
  • Job Function: Research
  • Job Type: Full-Time
  • Job Duration: 1-2 Years
  • Min Education: PhD
  • Min Experience: 1-3 Years
  • Required Travel: None
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