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Posted 4 months ago

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Burning Plasma Scientist

Kearny, NJOn-siteFull-time

AI Summary

Burning Plasma Scientist develops and analyzes high-fidelity simulations of energetic particle confinement in 3D magnetic geometries, explores AE stability with kinetic-MHD codes, and builds ML surrogates to accelerate fusion design cycles.

About this role

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.

Key Responsibility Areas:

  • 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
  • Ideal Experience & Skillsets:

  • 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
  • Company Benefits:

  • Salary range $135,000-$210,000
  • Comprehensive health benefits (e.g. medical/dental/vision)
  • Employee equity stock options
  • 20 days PTO
  • Skills

    3D Magnetic GeometryAlfvén Eigenmode (AE) StabilityC++Coils DesignData AnalysisDivertor ConfigurationsFast-ion DiagnosticsFortranHigh-fidelity SimulationsKinetic-MHDMachine LearningMatlabML SurrogatesNeutron CamerasOptimization CollaborationParticle-following CodesPressure Profile PredictionPythonReduced-order ModelingSimulation Databases

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