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Applications of Statistical Methods to Advance Fusion Energy Research - Postdoctoral Researcher
Physical Life Sciences | livermore, CA | 03/16/2023
Job Code: PDS.1 Post-Dr Research Staff 1
Organization: Physical and Life Sciences
Position Type: Post Doctoral
Security Clearance: None (however, assignments longer than 179 days require a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
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
$108,840 Annually
Job Description
We have an opening for a Postdoctoral Researcher to join a team developing and applying novel tools for the interpretation of current tokamak experiments and design of fusion reactors. The role will involve working with physicists and applied mathematicians, using tokamak divertor simulation models UEDGE and BOUT++ to analyze experiments, automating the analysis workflow and applying adaptive sampling techniques to efficiently quantify uncertainties. This will provide opportunities for physics discovery and contribute to the design of divertor components that are critical to fusion reactor power handling. This position is in the Fusion Energy Sciences Program within the Physics Division.
You will
- Perform UEDGE and BOUT++ simulations of experiments on DIII-D and other tokamaks
- Work with a team of applied mathematicians, experimental and computational physicists to apply statistical techniques to interpret trends across experiments
- Develop novel techniques for automating simulation workflows and efficiently quantifying uncertainties through adaptive sampling techniques
- Design and lead studies to critically evaluate model predictive capability
- Collaborate with scientists in a multidisciplinary team environment to accomplish research goals
- Pursue independent research aligned with the group’s interests and interact with exceptional scientists both internal and external to the Laboratory
- Maintain awareness of technical literature in assigned areas
- Publish research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars and/or technical meetings
- Perform all assignments in accordance with LLNL ES&H, security, and business practice policies
- Perform other project-relevant duties as assigned
Qualifications
- PhD in Physics, Engineering, Applied Mathematics, Statistics, or a related field
- Experience in performing simulations of physical systems to answer research questions
- Experience in writing software for data analysis in a commonly used scientific programming language such as Python, Julia, IDL, or MATLAB
- Knowledge of statistical techniques for model parameter estimation and error propagation
- Ability to carry out independent research projects with results published in peer-reviewed journals
- Proficient verbal and written communication skills as reflected in effective presentations at seminars, conferences, and other meetings
- Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment
Qualifications We Desire
- Experience in experimental, theoretical, or computational plasma physics research
- Experience in writing Python software to analyze simulation or experimental datasets
- Experience in writing or modifying simulation codes in Fortran or C++.
- Knowledge of plasma physics relevant to the divertor region of tokamak fusion devices
- Knowledge of adaptive sampling techniques as applied to computationally expensive simulations with many input parameters
Additional Information
All your information will be kept confidential according to EEO guidelines.Position Information
This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.
Why Lawrence Livermore National Laboratory?
- 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
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.)
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.
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.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job 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.
