We are seeking 1 postdoctoral associate to work in the area(s) of deep learning, atomistic simulation, uncertainty quantification, radiation damage, and advanced nuclear materials such as molten salts, wide-band gap superconductors and high-temperature superconductors.
The candidate(s) will lead projects that develop deep learning methods for modeling and simulation of material properties, understanding structure-property relationships, and discovering new materials for clean energy applications. Ideal candidates should have a background in chemical engineering, nuclear engineering, materials science, chemistry, physics, computational science and engineering, or another related engineering field. The candidate should have experience in one or more of the following: molecular dynamics, electronic structure methods such as density functional theory, machine learning, programming, data informatics.
Current opportunity (funded project) is for U.S. Legal Permanent Residents and U.S. Citizens.
PhD Students
We are seeking motivated students that are interested in doing research in advanced energy/nuclear materials. Candidates should have a background in chemical engineering, chemistry, physics, materials science, computational science and engineering, or another related engineering field. Experience in molecular dynamics, density functional theory, and/or machine learning is a plus, but not a requirement. We look for individuals that are highly motivated, creative and have potential to do high impact research given the training and opportunity.
Current opportunity (funded project) is for U.S. Legal Permanent Residents and U.S. Citizens. However, we encourage all highly-motivated students to contact us to discuss research interests and discuss potential future opportunities.
To Apply:
Contact Dr. Stephen Lam at stephen_lam@uml.edu with resume/CV.
The Lam Research Group is an interdisciplinary and highly collaborative research group with active projects that combine predictive simulation, data analytics and informed experiments to accelerate the development of materials in nuclear and other energy applications. Candidates will have opportunities to work with collaborators from other departments, universities and national laboratories across the U.S. For more information on the group, please visit our research page.