Energy Systems Modeling Postdoc — Hybrid Work & Impact

Lawrence Livermore National Laboratory; Livermore (CA); Hybrid; USD 122,000 - 143,000; Full time

Benefits offered by this job

Relocation Assistance

Education Reimbursement Program

Flexible schedules

Job summary

Lawrence Livermore National Laboratory (LLNL) invites applications for a Postdoctoral Researcher to advance continuum modeling, simulation, and optimization of energy and climate systems. The role includes developing physics-based codes and applying commercial and open-source tools within the Computational Engineering Division.

Hybrid work arrangement and potential home days are available. You will collaborate with a multidisciplinary team, publish findings, and contribute to energy generation,

Qualifications

• PhD in engineering, mathematics, computational science, or related field.
• Experience developing/modifying continuum models for energy systems (reactive mass transfer, electrochemical phenomena, conjugate heat transfer, etc.).
• Experience programming in C/C++ and scripting languages (Python, MATLAB).
• Experience with commercial/open-source modeling, simulation, and optimization codes.

Responsibilities

• Conduct RD in energy materials and devices.
• Develop continuum models for fluid flow, mass/energy conservation, and reactions.
• Employ/extend LLNL simulation codes for electrochemical systems.
• Develop HPC algorithms for design optimization of complex systems.
• Collaborate with engineers to solve multidisciplinary problems.
• Publish results in peer-reviewed journals and present at conferences.

Skills

C/C++

Python/Matlab

HPC

Continuum modeling

Electrochemical systems

Education

PhD in engineering

Tools

COMSOL

STAR-CCM+

ANSYS/Fluent

OpenFOAM

FEniCS

Firedrake

Job description

Lawrence Livermore National Laboratory (LLNL) invites applications for a Postdoctoral Researcher to advance continuum modeling, simulation, and optimization of energy and climate systems. The role includes developing physics-based codes and applying commercial and open-source tools within the Computational Engineering Division.

Hybrid work arrangement and potential home days are available. You will collaborate with a multidisciplinary team, publish findings, and contribute to energy generation,