Nuclear Theory - Postdoctoral Researcher

Location:  Livermore, CA
Category:  Post Docs
Organization:  Physical and Life Sciences
Posting Requirement:  External Posting
Job ID: 107562
Job Code: Post-Dr Research Staff 1 (PDS.1)
Date Posted: September 22 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 to develop and pursue innovative research in the application of machine learning techniques to theoretical models of nuclear fission. You will investigate the use of deep neural networks to emulate nuclear density functional theory models used in microscopic simulations of the fission process. This position is in the Nuclear Data and Theory group of the Nuclear and Chemical Sciences Division.
 
Essential Duties
- Develop and pursue innovative research in nuclear density functional theory.
- Investigate the use of deep neural networks to emulate density functional theory models.
- Propose innovative methods to advance microscopic fission theory.
- Contribute development of computer codes running on advanced architectures.
- Document and publish research results in peer-reviewed scientific publications.
- Present results at external conferences, seminars and/or technical meetings.
- Collaborate with other scientists and technical personnel to accomplish research goals.
- Perform other duties as assigned.
 
Qualifications
- PhD in nuclear theory or closely related field.
- Experience in applying or developing mean-field based theoretical methods for nuclear structure, nuclear reactions or fission.
- Experience in scientific computing.
- Experience in high-performance computing on advanced architectures.
- Familiarity with machine learning Python-based platforms (Tensorflow, Pytorch).
- Proficient verbal and written communication skills necessary to work in a multidisciplinary team environment, author technical and scientific reports and publications, and deliver scientific presentations.
- Documented publication record in peer-reviewed literature.
- Experience presenting research results to a large audience.

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.)

For additional information, please see DOE Order 472.2

 

Note:   This is a 2 year Postdoctoral appointment with the possibility of extension to a maximum of 3 years.  Eligible candidates are those who have been awarded a PhD 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.