Multiphysics Modeling Engineer

Fusion Energy Base

Abingdon

Hybrid

GBP 45,000 - 70,000

Full time

14 days+

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Benefits offered by this job

Hybrid work policy
Stock options
Relocation assistance
Insurance plans
Retirement options
Additional voluntary benefits

Job summary

Fusion Energy Base is seeking a highly experienced Multiphysics Modeling Engineer to drive advanced multiphysics simulations for fusion energy systems. This role involves establishing strategies for MOOSE-based simulations, focusing on key components of the Infinity Two stellarator power plant. You will work with cross-functional teams and ensure high-quality modeling practices.

The ideal candidate should hold a PhD in a relevant field, possess strong skills in multiphysics simulation, and have deep experience with the MOOSE framework. A hybrid work policy and competitive salary are offered.

Qualifications

  • PhD or equivalent experience in Nuclear Engineering, Mechanical Engineering, Physics, Materials Science, or Computer Science.
  • Proven track record in multiphysics simulation and computational modeling.
  • Deep experience with the MOOSE framework.

Responsibilities

  • Develop and execute a roadmap for MOOSE-based modelling.
  • Lead the development of tightly coupled multiphysics models.
  • Collaborate with cross-functional teams to ensure integrated modelling approaches.

Skills

Multiphysics simulation
C++ programming
Python programming
Analytical skills
Communication skills

Education

PhD in Nuclear Engineering or related field

Tools

MOOSE framework
OpenMC
ANSYS
COMSOL
OpenFOAM

Job description

Multiphysics Modeling Engineer

Location: Knoxville, TN or Culham (UK). Salary: Highly Competitive Plus Benefits.

Contract: Permanent, full time.

Reporting to: Senior Director of Nuclear and Fuel Cycle.

About the Role

Type One Energy is seeking a highly experienced and technically strong Multiphysics Modeling Engineer to drive the development, integration, and application of advanced multiphysics simulation capabilities for fusion energy systems. The role is responsible for establishing and executing the company’s strategy for MOOSE‑based simulation across plasma‑facing components, structural systems, blankets, and tritium‑relevant subsystems. It will enable high‑fidelity, tightly coupled simulations to inform the design of the Infinity Two stellarator power plant and future commercial systems.

Responsibilities
  • Develop and execute a comprehensive roadmap for MOOSE‑based modelling, including physics capability development, validation strategy, and integration with the broader design toolchain.
  • Lead the development of tightly coupled multiphysics models (thermal, structural, tritium transport, radiation, electromagnetics, and materials behaviour) to support fusion energy system design.
  • Establish best practices for software quality assurance, model development, verification & validation (V&V), configuration control, and reproducibility.
  • Collaborate with cross‑functional teams (plasma physics, neutronics, mechanical, thermofluid, materials, systems engineering) to ensure consistent and integrated modelling approaches.
  • Develop workflows to couple MOOSE with external tools (e.g., radiation transport, plasma, structural, CFD tools) for end‑to‑end simulation capability.
  • Apply simulation results to evaluate performance, lifetime, and failure modes of critical components under fusion‑relevant conditions.
  • Support design trade studies and optimization using high‑fidelity multiphysics simulations.
  • Integrate experimental data and R&D results into models to improve predictive capability and reduce uncertainty.
  • Contribute to the development of closely coupled models for near‑term experimental activities.
  • Prepare technical reports, presentations, and publications to communicate modelling results and influence design decisions.
  • Engage with external collaborators (national labs, universities, industry partners) to advance state‑of‑the‑art multiphysics modelling approaches.
  • Be accountable for the quality, accuracy, and applicability of simulation tools and results.
  • Provide transparent and realistic assessments of timelines, risks, resource requirements, and data needs.
Qualifications
  • PhD or equivalent experience in Nuclear Engineering, Mechanical Engineering, Physics, Materials Science, Computer Science, or a related field.
  • Proven track record in multiphysics simulation and computational modeling, ideally in fusion, advanced fission, or high‑performance energy systems.
  • Deep experience with the MOOSE framework and its ecosystem.
  • Strong understanding of coupled physics relevant to fusion systems, including heat transfer, thermal hydraulics, structural mechanics, material behaviour, radiation effects, tritium/hydrogen transport, and electromagnetic effects.
  • Familiarity with complementary tools such as OpenMC, MCNP, ANSYS, COMSOL, OpenFOAM, or plasma simulation codes.
  • Experience developing or extending scientific software in C++ and/or Python.
  • Demonstrated experience leading technical programs and managing complex, multidisciplinary modelling efforts.
  • Experience with verification and validation methodologies and uncertainty quantification.
  • Familiarity with HPC environments and parallel computing.
  • Experience integrating multiple simulation tools and managing complex workflows.
  • Strong analytical, problem‑solving, and systems‑thinking skills.
  • Excellent communication skills, with the ability to translate advanced simulation results into engineering insight.
Benefits
  • Hybrid work policy
  • Stock options
  • Relocation assistance
  • Insurance plans
  • Retirement options
  • Additional voluntary benefits
Equal Opportunity Statement

Type One Energy is an equal opportunity employer. We value diversity and encourage applicants of all backgrounds. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic protected by applicable law.

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