Postdoctoral Position: Modeling of Energy Storage and Conversion Materials

The group of Alex Urban in the Department of Chemical Engineering at Columbia University has an opening for a postdoctoral researcher for projects related to electrochemical energy storage and conversion with focus on batteries and fuel cells. The position will involve the atomistic modeling of surfaces and interfaces with density-functional theory (DFT) and machine-learning techniques.

Applicants should have experience with periodic DFT calculations. Additional experience in one or more of the following areas is beneficial:

• Modeling of battery, fuel cell, or catalyst materials;
• Software development in Python;
• Construction of ab-initio phase diagrams;
• Application of machine learning to materials science;
• Automated (high-throughput) calculations.

We ask those interested to send their CV and a list of references to [email protected].

PhD Students

We are currently looking for PhD students for the following directions:

• Understanding degradation processes in Li-ion batteries;
• Computational prediction of the optimal conditions for transition-metal recycling;
• Development of machine-learning approaches for materials modeling.

Note that students have to be admitted to the PhD or MS programs in the Department of Chemical Engineering at Columbia University.

Interested students are encouraged to contact Alex Urban ([email protected]).