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Research Associate in Computational Materials
2 months ago
The selected candidate will engage in computational investigations focusing on nuclear and advanced energy materials. This role involves the development, training, and evaluation of machine learning models aimed at simulating materials using techniques such as dense neural networks, Gaussian processes, and graph convolutional networks.
Key Areas of Research:
The materials under investigation include molten salts, which serve as heat transfer fluids in innovative fission and fusion reactors, as well as doped ceramic materials intended for high-temperature electric-thermal energy storage.
Responsibilities:
The appointee will assist their supervisor in the preparation of scholarly articles and grant proposals. The initial contract will be for one year, with the potential for extension based on performance and funding availability.
Essential Qualifications:
- PhD in Nuclear Engineering, Chemical Engineering, Materials Science, Computer Science, Chemistry, Physics, or a related discipline.
Required Skills:
- Expertise in molecular dynamics simulations, electronic structure methods (DFT), thermodynamic modeling, phase diagram calculations, machine learning, and high-performance computing.
Additional Skills:
- Ability to work autonomously and collaboratively within a team setting.
- Capability to mentor and motivate students with limited research experience.
- Familiarity with nuclear materials and the chemistry of molten salts/ionic liquids.
Application Instructions:
Only current employees within the specified bargaining unit will be considered during the initial application period. All other candidates will be reviewed thereafter. The evaluation of applications will commence immediately and will continue until the position is filled.
Note:
This position is subject to funding availability. Candidates are encouraged to submit a resume with their application. Contact information for three references will be required during the application process. A cover letter is optional.
