FEM Discretizations and AD Algorithms - Postdoctoral Researcher

We have an opening for a Postdoctoral Researcher to perform research and development of finite element (FEM) discretizations and automatic differentiation (AD) algorithms in support of high-performance computing (HPC) applications based on LLNL’s MFEM finite element library. Of particular interest are Computational Fluid Dynamics (CFD) applications with fluid-structure interaction (FSI) and general multi-physics coupling. This position will be part of the MFEM team in the Numerical Analysis & Simulations Group of the Center for Applied Scientific Computing (CASC) Division within LLNL’s Computing Directorate.

In this position you will

• Research new algorithms for efficient high-order finite element meshing, discretizations and solvers in the context of differentiable simulations for multi-physics HPC applications.
• Implement and test the new methods in the MFEM finite element library, targeting flexible user interface and applicability to variety of applications and multi-physics coupling.
• Incorporate, evaluate and improve the performance of the new algorithms in specific applications, such as fluid-structure interaction coupling between CFD and solid mechanics simulations.
• Document complex research and development progress via technical reports, journal publications, and conference presentations.
• Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to define and carry out the research.
• Perform other duties as assigned.

• Ph.D. in Mathematics, Applied Mathematics, Computational Science or a related field.
• Knowledge of finite element methods for PDE discretizations on unstructured meshes.
• Experience in developing complex C++ software in a Linux environment.
• Demonstrated ability to perform independent research projects as demonstrated through publications of peer-reviewed literature.
• Proficient verbal and written communication skills necessary to author technical and scientific reports and papers and deliver scientific presentations.
• Ability to work independently as well as in multidisciplinary research teams.

Desired Qualifications

• Knowledge of high-order finite element methods and familiarity with the MFEM library.
• Knowledge of automatic differentiation techniques and tools like Enzyme.
• Experience with CFD, FSI or multi-physics coupling algorithms at large scale.
• Experience in developing large-scale parallel scientific software with MPI.
• Experience with GPU programming with CUDA, HIP or SYCL.

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.

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• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
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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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