Thea.Energy2mo ago

Burning Plasma Scientist

United States·KearnyFull-timemid

OtherScientist

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Quick Summary

Overview

About Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy.

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About Thea Energy:

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future.

Position Overview:

Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.

Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries

Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport

Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles

Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses

Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaigns

PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience)

Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB)

Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups

Willingness to collaborate with a diverse team of scientists and engineers within the company and externally

Passion for advancing the field of fusion energy research

Familiarity with kinetic, MHD or particle-following codes

Experience developing Machine Learning surrogates for physical systems

Familiarity with energetic particle diagnostics