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Design and Optimization Postdoctoral Research Staff Member

Entry Level | Full-time
Engineering | livermore, CA | 06/21/2021

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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 essential to innovation and creativity for continued success of the Laboratory’s mission.

Job Description

We have multiple openings for a Postdoctoral Research Staff Member to conduct basic and applied research in the optimization, simulation, and design of physical and engineered systems. You will work collaboratively and independently to extend and develop physics-based design optimization tools. The team is working to both extend the state-of-the-art and support Laboratory missions. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.

In this role you will

  • Conduct research in and develop algorithms for the optimal design of engineering systems governed by nonlinear, transient, multiscale, and multi-physics phenomena that include uncertainties in geometry and material properties.
  • Design, implement, and analyze the aforementioned algorithms in HPC environments.
  • Collaborate with others in a multidisciplinary team to identify and solve challenging design optimization problems within the most open design spaces while enforcing applicable manufacturing constraints.
  • Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
  • Pursue independent (but complementary) 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.
  • Contribute to group grant proposals, including proposal presentations and preparation of proposals that will provide future research opportunities and new directions in design optimization.
  • Maintain current knowledge of research developments and challenges in design optimization.
  • Perform other duties as assigned.

Qualifications

  • PhD in Engineering, Mathematics, Computational Science, or related field.
  • Experience with programming skills in one or more higher-level programming languages such as C/C++/FORTRAN and scripting languages including Python/Matlab.
  • Knowledge of massively-parallel computing and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA.
  • Knowledge of shape/topology optimization techniques and algorithms.
  • Experience writing finite element codes for HPC.
  • 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 present and explain technical information.
  • Initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.

Additional Information

Why Lawrence Livermore National Laboratory?

  • Included in 2021 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Career site

Security Clearance

LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory.  Some positions will require a DOE L or Q clearance (please reference Security Clearance requirement above).  If you are selected and a clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing.  An L or Q clearance requires U.S. citizenship.  For additional information please see DOE Order 472.2.

Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. 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.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form

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.

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