Computational Physicist

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory's mission.

Pay Range

$159,330 - $204,636 Annually

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.

Job Description

We have an opening for a Computational Scientist to work on next-generation fissile materials production modeling and simulation usingstate-of-the-art adaptive computing technologies to integrate models with advanced data analytics and machine learning. You will develop models to enable simulation of proliferation processes and accurate assessment of possible proliferation activities.This position is in the Applied Physics Section in the Physics Division.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

You will

• Learn underlying physics and operational procedure of existing suite of computational models for fissile-materials production.
• Enhance existing and develop new computational models for processes and components associated with fissile materials production using a new adaptive computing environment, coupled to high-performance computing capabilities, as needed.
• Use hierarchy of complex computational models to provide expert input and technical advice to national security nuclear analysts.
• Apply machine learning and statistical analysis to computer simulation outputs to couple simulation codes, to perform and analyzelarge-scale statistical studies, and to generate synthetic machine-learning models.
• Maintain an awareness of technical literature in assigned areas.
• Periodically, prepare written analyses and verbal briefings that capture and communicate research results.
• Publish research results in technical and/or peer-reviewed scientific journals, and present results at technical meetings and/or external conferences.
• Occasional travel as necessary to interact with sponsors and collaborators.
• Perform other duties as assigned.

Qualifications

• Ability to secure and maintain a U.S. DOE Q/SCI-level security clearance which requires U.S. citizenship.
• PhD in Nuclear Engineering, Physics, Computational Science, or related field, or the equivalent combination of education and relevant experience.
• Significant experience developing complex computational physics codes.
• Advanced knowledge andsignificant experience in developing computational models and simulations.
• Significant experience with artificial intelligence, machine learning, and/or data analytics.
• Significant experience authoring technical and scientific reports, publications and delivering scientific presentations.
• Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management and external sponsors.
• Ability to travel off-site for sponsor and collaborator interaction.

Qualifications We Desire

• Experience with adaptive computation environments and/or high-performance computing.
• Advanced knowledge and significant experience with the scientific and technological issues associated with national security in one or more of the following areas: nuclear fuel cycle, advanced technology/process model development, isotope production, data analytics, fluid flow, industrial chemical facilities, foreign weapon programs, or related emerging technologies.

Additional Information

#LI-Hybrid

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Included in 2024 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our core beliefs - visit https://www.llnl.gov/diversity/our-values
• Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.If you are selected, wewill initiate a Federal background investigation to determine if youmeet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test

External applicant(s) selected for this position must 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.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the useand/or possession ofmobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area whereyou are not permitted to have a personal and/or laboratory mobile devicein your possession. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

Ifyou useamedical device, whichpairs with a mobile device,you must still follow the rules concerningthe mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities requireseparate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

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Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under "Find Your Job" of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision .

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

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The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitlesjob applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here .