Lawrence Livermore National Laboratory

Research Scientist - Nuclear

Location:  Livermore, CA
Category:  Science & Engineering
Organization:  Physical and Life Sciences
Posting Requirement:  External Posting
Job ID: 104421
Job Code: Science & Engineering MTS 3 (SES.3)
Date Posted: November 12 2018

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Science and Technology on a Mission!

For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.

We have an opening for a Research Scientist. You will develop and maintain nuclear data infrastructure codes and application programming interfaces (APIs), as well as interact with nuclear theorists to fulfill the needs of our programs. This position is in the Nuclear Data and Theory group of the Nuclear and Chemial Sciences Division.
Essential Duties
- Develop and maintain LLNL’s nuclear data infrastructure codes and APIs.
- Collaborate with LLNL transport code developers and nuclear data users to determine new features and priorities.
- Collaborate with teams of scientists and engineers and U.S. and international nuclear data communities.
- Pursue independent research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars and/or technical meetings.
- Mentor students and postdoctoral researchers.
- Perform other duties as assigned.
- PhD in nuclear physics or engineering, or related field, or the equivalent combination of education and related experience.
- Significant experience with computational physics, including algorithm development, testing and documentation.
- Advanced technical understanding of evaluated nuclear data (e.g., ENDF/B-VIII.0).
- Advanced understanding of nuclear data needs for neutronic transport codes.
- Advanced technical understanding
of algorithms to convert evaluated nuclear data into forms suitable for deterministic and Monte Carlo neutronic transport codes (e.g., multi-grouping).
- Demonstrated ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.
- Advanced verbal and written communication skills to collaborate effectively in a multi-disciplinary team environment and present and explain technical information.
- Initiative and interpersonal skills necessary to work in a collaborative, multidisciplinary team environment.
- Ability to lead teams of researchers and to manage large technical collaborations.
Desired Qualifications
- Experience programming in Python, C++ and C programming languages. Familiar with software quality assurance best practices.
- Experience in unresolved region treatments for Monte Carlo transport and in neutron thermal scattering law data and treatment for Monte Carlo and deterministic transport.
- Experience working with nuclear covariance data.

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.


Note:   This is a Career Indefinite position. Lab employees and external candidates may be considered for this position.

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 $1.8 billion, employing approximately 6,500 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.