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Geophysics and Computational Machine Learning Postdoc in Los Alamos, New Mexico

Develop novel computational techniques based on machine learning methods, and apply them to geophysical dataset for subsurface characterization and monitoring.

Posted in: Opportunities

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What You’ll Do

The Geophysics Group (EES-17) in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) has an immediate opening for a creative and resourceful postdoc candidate with strong geophysics, machine learning and computational science skills. The successful candidate will develop novel computational techniques based on machine learning methods, and apply them to geophysical dataset for subsurface characterization and monitoring. The term of the appointment is two years, with the option to extend to a third year depending on the performance and funding availability.

What You Need

Minimum Job Requirements

  • Strong background in geophysics, machine learning, or computational science.
  • Demonstrated ability to work independently and as a member of a team, with good communication skills.
  • Proficiency in one or more programming languages

Desired Skills

  • Proficiency in Python, Matlab, Fortran, C, and C++
  • Experience in code development and parallel computing
  • Experience in machine learning packages such as Keras and TensorFlow
  • Experience in application and development of signal processing, image analysis, and machine learning methods

Education

A PhD in Geophysics, Applied Mathematics, Computational Sciences, Computer Sciences, ora related field. The candidate must have completed all PhD requirements by commencement of the appointment and be within five years of completion of the PhD

Notes to Applicant:

In addition to applying online, please send a cover letter detailing qualifications and research interests, a curriculum vitae/resume, and names of three references to Youzuo Lin (ylin@lanl.gov) and Ting Chen (tchen@lanl.gov).

The ability to obtain Q-level clearance is desired.

Additional Details:

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

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.

Candidates may be considered for a Director’s Postdoc Fellowship and outstanding candidates may be considered for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call 505-665-4444 option 1.

Where You’ll Work

EES employs about 110 scientists and 40 postdocs as well as many students, with expertise in various facets of Earth science. The successful candidate will join the dynamic and interdisciplinary Geophysics Group that includes more than 40 researchers working on projects related to strategic national-interest problems dealing with energy and environmental security. Our Geophysics group has extensive expertise in seismic and acoustic monitoring as well as numerical modeling of tectonic processes across a wide spectrum of scales from the near-field (explosive modeling) to the far-field (reservoir- and plate-scale stress fields). Many of LANL projects address the nation’s most challenging environmental and Earth science problems. Our research includes active collaborations with universities and other national laboratories. The projects also include extensive research work related to high-performance computing. The successful candidate will interact with researchers and application-oriented scientists on this team as well as in other Earth sciences, computing, and physics groups. Access will be provided to advanced numerical simulation codes and state-of-the-art computing facilities within EES and at LANL.

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