Senior R&D Electromagnetic Analysis Engineer

Overview

CFS’s R&D team vets potential technical solutions to guide SPARC’s overall subsystem design and plan for the technology needs of future fusion power plants and spin-off projects. This Senior Electromagnetics Analysis Engineer will perform electromagnetic analysis of superconducting magnets using finite element and other methods, including the non-linear, anisotropic behaviour of high-temperature superconductors (HTS) in both insulated and non-insulated magnet systems. The role incorporates complex multi-physics behaviour into simplified network circuit and FEA models, working alongside a multidisciplinary team of physicists and engineers to validate simulations against experimental data. It is based onsite at CFS’s Devens, MA facility.

Key Responsibilities

• Perform electromagnetic analysis of superconducting magnets and inform design decisions
• Work with experimental teams on instrumentation, measurement, and correlation of experiment to analysis
• Develop new numerical tools, as needed, to facilitate multi-objective design optimization of high-temperature superconducting magnets
• Perform non-linear, highly-anisotropic electromagnetic simulations in complicated geometries
• Identify enabling technologies in the modelling and construction of high-temperature superconducting magnets
• Prepare reports and presentations as necessary
• Mentor and guide new members of the team in magnet design and analysis as necessary

Requirements

Essential: At least a Bachelor’s degree in electrical engineering or another relevant field with an electromagnetics background (physics, mechanical engineering, etc.); 7+ years of experience modelling electromagnetics using the finite element method; a strong background and theoretical understanding of computational electromagnetic analysis; experience modelling non-linear physics; experience with commercial finite element tools, with COMSOL preferred; the ability to customize commercial finite element tools or develop new in-house codes in modern programming languages such as Python, MATLAB, C, or C++; the ability to quickly grasp experimental setups and analyze data to validate models; strong communication and critique skills; and a history of thriving in fast-paced, dynamic environments.

Desirable: Multi-physics FEM modelling spanning electromagnetics, heat transfer, mechanics, fluids, and structures; experience working with superconducting non-linear physics; experience developing equivalent thermal and electrical circuit models; and familiarity with agentic coding tools and best practices.