Current opening
Our laboratory is always seeking highly motivated students, postdoctoral fellows, and research collaborators with strong backgrounds in computational physics, electrochemistry, materials science, applied mathematics, or machine learning. Individuals with experience in multiscale modeling, physics-informed neural networks, molecular dynamics, density functional theory, or scientific computing are especially encouraged to reach out.
If you are passionate about advancing interpretable, physics-grounded AI for electrochemical energy systems and are eager to work at the intersection of statistical mechanics, atomistic simulation, and data-driven discovery, we would be pleased to hear from you.
Interested candidates should contact me directly (cgtetsas@uwaterloo.ca) with a CV and a brief statement describing their research interests and how they align with our program.