Scientist – Boundary Digital Twin

Scientist – Boundary Digital Twin

Requirements

• Bachelor’s in physics, engineering, or computer science; Master’s degree or PhD preferred
• Experience in plasma physics or engineering related to digital twins
• Strong track record coding in Python
• Experience with scientific projects and data
• Tokamak power exhaust and particle control experience
• Experience using HEAT in a tokamak experimental context
• Tokamak diagnostic model development experience
• Tokamak control room experience
• Experience with render engine development (ie Unreal, Unity, Mitsuba3, Raysect, etc.)
• Experience developing docker containers
• Revision control experience using git
• Experience using Plotly
• Engineering analysis experience with ANSYS, COMSOL, OpenFOAM, or Elmer FEM
• Experience working with engineering metrology data (ie keyence, laser scans, etc)
• Material characterization and testing experience
• Ability to efficiently communicate progress and results to other scientists and engineers
• Ability to balance multiple projects simultaneously
• Ability to port knowledge in one domain of engineering or physics to another
• Ability to manage scientific collaborations
• Ability to track tasks using metric

Responsibilities

• Work with other members of the CFS physics team to build predictive models for tokamak power exhaust and particle control and implement them into the BDT
• Use the HEAT code to predict the heat and particle loads on 3D plasma facing components
• Work with the SPARC Diagnostics team to build synthetic diagnostic models for thermocouples, visible cameras, IR cameras, bolometry, and spectroscopy
• Build plasma parameter reconstruction workflows using diagnostic signals as inputs (ie energy balance from thermocouples)
• Serve as a SPARC boundary operator during operations, employing the BDT and other SPARC software tools to protect the PFCs and achieve maximum performance
• Maintain the BDT codes and docker containers using software best practices (revision control, CI, etc.)
• Develop scientific data visualization workflows
• Develop render engine algorithms to visualize complex 3D datasets with low latency
• Work with the engineering teams to combine metrology data from multiple sources (Keyence, laser scans, touch tests) with CAD models to generate as built models of ~30k SPARC PFCs and other components
• Work with the materials team to validate the BDT engineering and material models (ie stress, recrystallization, etc.) against materials tests performed at collaborator facilities or in house
• Manage external collaborations with national labs and academic institutions

Preferred Qualifications

• Master’s degree or PhD preferred