Fusion Plasma–Materials Modeling Scientist

University of Tennessee, Knoxville; Knoxville (TN); On-site; USD 90,000 - 120,000; Full time

Job summary

The University of Tennessee, Knoxville invites applications for a Research Assistant/Associate Professor position focused on integrated thermal–mechanical modeling of plasma–material interactions in fusion reactors. The role emphasizes micromechanics, nonlinear finite element modeling, and advanced code development within UT-ORII.

The successful candidate will collaborate with Nuclear Engineering, Mechanical Engineering, Materials Science and Engineering, and Physics, contributing to predictive

Qualifications

• PhD in a relevant engineering or physics discipline.
• Significant research experience with a documented publication record.
• Experience with code development for the mechanical response of materials or components.
• Experience in statistical science/uncertainty quantification is beneficial.
• Experience with obtaining funding and student mentoring is beneficial.
• Interdisciplinary interests and potential for collaboration across disciplines encouraged.
• Ability to obtain Oak Ridge National Laboratory site access.

Responsibilities

• Develop micromechanical and nonlinear FEM models of deformation, damage, and failure under coupled irradiation, creep, and fatigue.
• Couple computational models of plasma exposure, material evolution, and component response.
• Quantify how uncertainties propagate through simulations to predictions of performance and lifetime.

Skills

Micromechanics

Nonlinear FEM

Physics

Continuum mechanics

Code development

Uncertainty quantification

Collaboration

Education

PhD in Nuclear Engineering

Tools

Integrated Plasma Simulator (IPS)

Job description

The University of Tennessee, Knoxville invites applications for a Research Assistant/Associate Professor position focused on integrated thermal–mechanical modeling of plasma–material interactions in fusion reactors. The role emphasizes micromechanics, nonlinear finite element modeling, and advanced code development within UT-ORII.

The successful candidate will collaborate with Nuclear Engineering, Mechanical Engineering, Materials Science and Engineering, and Physics, contributing to predictive