Design Optimization Engineer for Responsive Materials - Postdoctoral Researcher
Organisation Name: LLNL
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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 important for continued success of the Laboratorys mission.
Pay Range
$112800 - $129240 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 Design Optimization Engineer - Postdoctoral Researcher to conduct basic and applied research in the optimization simulation and design of physical and engineered systems. This role involves working both collaboratively and independently to extend and develop physics-based design optimization tools. Our team is working to advance the state-of-the-art in support of Laboratory missions. This position is in the Computational Engineering Division (CED) within the Engineering Directorate.
In this role you will
Develop and implement high-performance computing (HPC) algorithms for the simulation and design optimization of systems governed by nonlinear transient multiscale and multiple physical phenomena including uncertainties in geometry and material properties.
Contribute to identifying and solving challenging design optimization problems with gradient-based optimization approaches.
Develop continuum models and implement them in our HPC numerical analysis software to solve the governing partial differential equations of the physical system to predict design responses of interest.
Demonstrate our design optimization capabilities and establish credibility with mission customers.
Document research findings through presentations and peer-reviewed journal articles and contribute to identifying future research directions and proposals that will provide opportunities in the field.
Collaborate with multidisciplinary teams to integrate design optimization tools with other simulation and analysis frameworks.
Stay current with technological advancements by updating and enhancing your knowledge of the latest HPC algorithms simulation techniques and design optimization methods.
Mentor and train junior researchers interns and other team members in the use of design optimization tools and methodologies.
Perform other duties as assigned.
Qualifications
PhD in Engineering Mathematics Computational Science or a related field.
Experience developing custom simulation tools using continuum discretization approaches (e.g. finite elements) for physical systems.
Proficiency in programming languages such as C/C++/FORTRAN and scripting languages including Python.
Knowledge of HPC 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 to present and explain technical information to document work and to prepare and present successful proposals and high-quality research papers.
Qualifications We Desire
Expertise in design sensitivity analysis via direct (forward) and adjoint (backward) methods shape/topology optimization and other design optimization techniques; familiarity with machine learning and data science techniques.
Experience simulating and designing systems that involve complex nonlinear transient multiphysics models; proficient in nonlinear solvers and linear algebra concepts for solving challenging linear systems.
Experience working in a collaborative software development environment including experience with version control systems such as Git.
Adept at tackling complex technical challenges with a logical and analytical approach working effectively with experts from various fields and promoting an inclusive and diverse work environment.
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?
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This position requires either no security clearance or a Department of Energy (DOE) L-level or Q-level clearance depending on theparticular assignment.
If you are selected and a security clearance is required wewillinitiate 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.)
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.
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