Computational Optimization Engineer - Postdoctoral Researcher

Key Skills

Applied Machine Learning, C Programming, C++, Caffe, CUDA/GPU programming, Data science techniques, Deep Learning, High performance computing- HPC, Java Programming, Keras software library, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, Scala Programming, TensorFlow

Job 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.

Pay Range

$108,600 - $126,720 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 Engineer 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. This position is in the Computational Engineering Division (CED).

In this role you will

• Develop and implement HPC algorithms and simulations for the optimal design of engineering systems governed by nonlinear, transient, multiscale, and multiple physical phenomena that include uncertainties in geometry and material properties.
• Contribute to solving challenging design optimization problems.
• Develop continuum-based finite element simulations to solve the governing partial differential equations of the physical systems that govern the design response.
• Identify and solve challenging design optimization problems highlighting capabilities and establishing credibility with mission customers.
• Document research through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field.
• Perform other duties as assigned.

Qualifications

• D. in Engineering, Mathematics, Computational Science, or a related field, or the equivalent combination of education and related experience.
• Experience developing simulation tools using continuum approaches (e.g., finite elements) for physical systems.
• Experience programming skill in 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.
• Ability to perform independent research.
• Proficient verbal and written communication skills needed to effectively collaborate in a team environment, present and explain technical information, document work, prepare and present successful proposals and high-quality research papers.

Qualifications We Desire

• Knowledge of explicit design sensitivity analysis via direct (forward) and adjoint (backward) methods.
• Knowledge of shape/topology optimization techniques and algorithms.
• Exposure to machine learning and other data science techniques.

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

This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the particular assignment.

If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. L and Q-level clearances require U.S. citizenship.

If no security clearance is required, but 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.)