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PhD position: Deep learning corrosion in nuclear ... (No replies)
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PhD position: Deep learning corrosion in advanced nuclear, UMass Lowell
The Lam Research Group at the University of Massachusetts Lowell is seeking applicants for a funded PhD student position at the University of Massachusetts Lowell starting September 1, 2022. The research position will work on projects that apply machine learning for studying corrosion in materials used in advanced nuclear reactors (e.g., molten salt reactors). This includes the development of deep learning models for representing interatomic interactions, predicting material properties over a large composition space, interpreting X-ray and neutron scattering spectra, and developing physics-informed machine learning methods for materials design.
Background
Molten salts are important high-temperature liquids for many current and emerging industrial applications such as waste oxidation, catalytic coal gasification, concentrated solar power, and advanced nuclear reactors. However, corrosion of structural materials in contact with molten salts poses a significant scientific and industrial challenge. Generally, understanding the chemistry of ionic liquids requires modeling the atomic structures and dynamics, multiple phases, and chemical transformations. Moreover, various impurities can exist in these salts (corrosion products, fission products and moisture) which can alter corrosion potential, which is complicated by the presence of irradiation. Currently, there are significant knowledge gaps in understanding the fundamental mechanisms of corrosion due to difficulties in handling high-temperature, toxic, radioactive salts, and in interpreting experimental spectra. This research will address these challenges by developing tools that combine enhanced molecular dynamics sampling methods, density functional theory, and deep learning to simulate corrosion processes, and understand structure-property relationships to guide materials design and selection. The student will work with experimental and computational collaborators from other US-based universities, national laboratories, and the advanced nuclear industry.
Qualifications
Applicants should have a B.S. or M.S in related degree such as chemical/nuclear/mechanical/electrical engineering, materials science, physics, or chemistry. Experience in programming, machine learning, molecular dynamics, ab initio simulation, is preferred.
Application
To apply, send an email to Dr. Stephen Lam ([email protected]) with current resume or CV, latest academic transcript, and a brief statement of interest. For more information on the Lam Research Group visit the group website. The candidate will also need to apply to the PhD program in Chemical Engineering or Energy Engineering at the University of Massachusetts Lowell.