- Strong communication skills and ability to work collaboratively in a team environment.
- Desire for independent research with collaboration opportunities.
- Experience in computational materials modeling within a multiscale paradigm.
- PhD in relevant disciplines such as Nuclear Engineering, Mechanical Engineering, Materials Science, Chemistry, or Physics.
- Experience with obtaining funding and student mentoring is beneficial.
- This is a 12-month, non-tenure track position at the University of Tennessee, Knoxville.
- Initial three-year contract with salary support decreasing after the first year.
- Opportunity for extramural funding and recruitment of graduate students.
- Continuation of the position dependent on attracting multi-year funding.
- Competitive startup package including support for PhD students and equipment budget.
- Salary and title/rank commensurate with experience.
- Standard benefits for exempt employees at the University of Tennessee.
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Research Assistant/Associate/Full Professor – Modeling Hydrogen Retention and Permeation in Fusion Materials, 2024 - Knoxville, United States - University of Tennessee
Description
Job Title: Research Assistant/Associate Professor
The University of Tennessee is seeking a Research Assistant/Associate Professor specializing in computational multiscale materials modeling of hydrogen isotope permeation, trapping, and retention for fusion reactors. This position involves collaborating on a new project with the University of Tennessee-Oak Ridge Innovation Institute (UT-ORII) to develop materials for extreme conditions in fusion environments.
The successful candidate will focus on utilizing various computational modeling techniques, from electronic structure models to molecular dynamics and mesoscale models. The research will contribute to evaluating plasma-facing components and structural materials in fusion environments, working closely with experimental activities and a team of faculty, postdoctoral associates, and students across multiple disciplines.
Key Qualifications:
Additional Information:
