Modeling and Simulation Technologist

W. L. Gore & Associates
Elkton, MD
May 12, 2022
May 15, 2022
Accountant, IT
Full Time
Job:Engineers, Scientists & TechPrimary Location:Americas-US-MD-ElktonTravel%:10%Shift:DaySchedule:Full-timeModeling and Simulation Technologist-221374We are an Enterprise that has always pushed the boundaries of what's possible - not just through our products and technologies but also through Associate growth and development. As Bill Gore once said, "Every time we learn a new skill, some new knowledge and take on a new responsibility, or a new kind of activity, we have promoted ourselves." In this spirit, we encourage Associates to explore outside their comfort zones and seek opportunities that are challenging and that help them reach their sweet spot and grow their contributions to the Enterprise.About the Role: We are looking for a Modeling and Simulation Engineer to join our modeling and simulation team in Elkton, Maryland primarily supporting our clean energy business within the performance solutions division. In this role, you will demonstrate high ability in the area of mathematical modeling and simulation of electrochemical systems to work within the clean energy business group. Responsibilities: Develop multiscale mathematical models, including PDE/ODE development and model execution in a commercial simulation package (COMSOL / AVL CruiseM) or a scientific programming language (C / C++ / Python / MATLAB), to describe the performance of Gore's materials at various levels from material to system as a function of material properties, system design, and operating conditions. Primary focus will be on electrochemical systems including fuel cells, flow batteries, and electrolyzers Generate reduced-order and statistical models that can be used as a basis for simplified systems performance models for electrochemical systems Collaborate with other engineers and scientists on the team to design experiments to collect data that informs model input parameters. Work with engineers across team to interpret electrochemical test data and develop understanding of experimental uncertainty on test methods that influence model input parameters Collaborate with external entities including research institutions and product development partners to generate and drive modeling validation efforts Execute project plans with appropriate technical guidance Write and review technical documents Participate and present at internal and external meetings and conferences Educate others in modeling and simulation as required Required Qualifications: PhD in Chemical engineering, system engineering, mechanical engineering, materials science, applied mathematics, physics, or a comparable field with a focus in engineering simulation or computation Strong basis in computational, theoretical, and experimental understanding of transport phenomena, chemical kinetics and other multiphysics applications Programming experience in C/C++/Python/MATLAB or other equivalent object-oriented programming languages Demonstrated ability to work in a team and interface with colleagues from different backgrounds towards technology improvement and problem resolution Demonstrated ability to set and meet aggressive timelines to solve problems Strong technical communication skills, especially with remote team members Highly motivated self-starter Willingness to sign appropriate Gore intellectual property agreements Ability to work a flexible schedule to accommodate working within an international team, including early morning/late evening conference calls Ability to travel up to 10% Desired Qualifications: Knowledge of electrochemistry and 3+ years experience with modeling the performance of electrochemical systems Knowledge of dynamic process modeling and numerical methods for solving nonlinear algebraic and differential equations, stochastic processes and Monte Carlo and other probabilistic simulation methods Hands-on experience with commercial simulation packages like COMSOL, STARCCM+, ABAQUS or similar CAE tools (like MATLAB/Simulink, gPROMS, AVL CruiseM, AVL Fire, Aspen, or equivalent). Experience with a distrubuted version control like git