Thread: Machine Learning Postdoctoral Researcher at LLNL

Started: 2020-02-18 23:31:40
Last activity: 2020-02-18 23:31:40
Kayla Kroll
2020-02-18 23:31:40
Seismology Postdoctoral Researcher
Location: Livermore, CAhttps://careers-llnl.ttcportals.com/jobs/search?advanced=1&cf%5bREC_LOCATION%5d%5b%5d=1001
Category: Post Docshttps://careers-llnl.ttcportals.com/jobs/search?advanced=1&cf%5bJOBFAMILY%5d%5b%5d=PD
Organization: Physical and Life Scienceshttps://careers-llnl.ttcportals.com/jobs/search?advanced=1&cf%5bORG_CD_LL%5d%5b%5d=015
Posting Requirement: External Postinghttps://careers-llnl.ttcportals.com/jobs/search?advanced=1&cf%5bPOST_REQ_TYP_LL%5d%5b%5d=D
Job ID: 106774
Job Code: Post-Dr Research Staff 1 (PDS.1)
Date Posted: February 18 2020
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Join us and make YOUR mark on the World!

Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2020 Best Places to Work by Glassdoor!

We have an opening for a Postdoctoral Researcher in the Seismology Group to perform advanced and independent work to support geophysical programs at LLNL. You will apply your expertise to ongoing geologic carbon storage, geothermal energy, waste fluid disposal, and/or unconventional oil and gas projects. You may also apply your expertise to explosion monitoring problems, including the detection, location, and characterization of signals of interest. The position requires a background in seismology, machine learning, and computer programming. This position is in the Atmospheric, Earth, and Energy Division within the Physical & Life Sciences Directorate.

Essential Duties
- Conduct original research that applies machine learning and/or data analytics to induced seismicity and reservoir geomechanics problems.
- Conduct original and independent research in seismology and/or geophysics.
- Organize and analyze large data sets from numerical simulations and/or ongoing field operations.
- Design, implement, and analyze machine learning techniques.
- Publish both programmatic reports and peer-reviewed publications summarizing research findings. Present results at program meetings and research conferences.
- Work as part of a scientific team, interacting with seismologists, geologists, reservoir engineers, statisticians, physicists, and computer scientists to design and implement high-impact research.
- Perform other duties as assigned.

Qualifications
- Recent PhD in geophysics, data science related to geophysics, or related field.
- Experience with one or more of the following areas: seismology, geophysics, machine learning, and/or data science/analytics.
- Ability to apply artificial intelligence, machine learning techniques to seismology and/or geophysical problems.
- Ability to formulate novel solutions to seismological and/or geophysical problems and familiarity with seismological and/or geophysical monitoring methods.
- Experience with computer systems and modern programming languages.
- Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and to present and explain technical information.
- Initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
Desired Qualifications
- Experience with seismic monitoring applications, operations, forward and inverse modeling of subsurface problems, wave propagation modeling, and numerical methods including finite difference, finite volume, and/or finite element techniques.
- Understanding of the geomechanical behavior of subsurface faults and reservoirs, analyzing microseismic data and other field datasets, modeling subsurface fluid flow, and/or the underlying physical processes leading to induced seismicity.
- Experience with earthquake physics and nucleation, statistical seismology, operational earthquake forecasting, probabilistic risk assessment methods, and/or uncertainty quantification techniques.

Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Security Clearance: None required.

However, if your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)

Note: This is a 2 year Postdoctoral appointment with the possibility of extension to a maximum of 3 years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.

About Us

Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $2.3 billion, employing approximately 6,900 employees.



LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.
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