Description: a PhD position is available from Fall 2020 in the group of theory and simulation of condensed matter at the University of Nebraska-Lincoln, Department of Chemical and Biomolecular Engineering (Lincoln, USA). The research requires application of quantum-mechanical based simulations with potential involvement of machine learning techniques through high-performance computing. Areas of current interest include activity-stability-morphology relationships for water splitting electrocatalysis and interfacial properties of lithium-ion battery materials.

Desirable skills:

• Solid background in computational chemistry, solid-state physics, molecular dynamics
• Familiarity with high-performance computing
• Experience in using major quantum-chemical/solid-state physics simulation packages (VASP, Quantum ESPRESSO, Abinit, CP2K, etc.)
• Experience in programming/scripting in Linux/Unix environment such as Python and machine learning techniques

However, a strong desire to learn new things, good communication skills and ability to work in a team are equally important. Prospective students are encouraged to reach out to the PI for more details.

To apply, e-mail cover letter, current resume with a complete list of your publications and the names and contact information of three references to:

E-mail: [email protected]

Website: https://engineering.unl.edu/alexandrov