Computational Research Scientist in Nuclear Materials
1 week ago
We are in search of a motivated and innovative professional to engage in pioneering research focused on nuclear materials and advanced energy solutions. In this role, you will take charge of developing, training, and evaluating machine learning models aimed at improving materials simulations. Your work will involve sophisticated techniques such as dense neural networks, Gaussian processes, and graph convolutional networks, specifically targeting materials like molten salts, which are essential for efficient heat transfer in advanced fission and fusion systems, as well as doped ceramic materials for high-temperature energy storage applications.
As an integral member of our research team, you will collaborate with your supervisor to publish impactful scholarly articles and contribute to grant proposals. The remuneration for this position is competitive and will reflect your qualifications and experience.
Key Responsibilities:- Conduct advanced computational research in the field of nuclear and energy materials
- Develop and validate machine learning algorithms for enhanced materials simulations
- Engage in projects related to molten salts and doped ceramic materials
- Support the preparation of scholarly publications and research proposals
- PhD in Nuclear Engineering, Chemical Engineering, Materials Science, Computer Science, Chemistry, Physics, or a closely related discipline
- Expertise in molecular dynamics simulations
- Proficiency in electronic structure methods (DFT)
- Experience with thermodynamic modeling and phase diagram analysis
- Strong background in machine learning and high-performance computing
- Proven ability to work both independently and collaboratively
- Experience in mentoring students and enhancing research capabilities
- Knowledge of nuclear materials and molten salt/ionic liquid chemistry
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