PhD Students
- PhD Thesis in Discovery, design, and characterization of novel Na-ion battery cathode materials via high-throughput screening
- Conduct high-throughput search or computational design of inorganic Nacontaining materials to identify potential cathode candidates for Na-ion batteries
- Perform detailed characterization of the most promising cathode materials to determine their electrochemical properties and suitability for battery applications
- Employ advanced computational techniques, including density-functional theory (DFT) with DFT+U+V, to model complex transition-metal compounds and predict their behavior in Na-ion batteries
- Collaborate with experimental partners at the PSI to validate computational predictions using world-class large-scale facilities
- Use the electronic-structure package Quantum ESPRESSO and the AiiDA infrastructure for simulations and data analysis
- Support teaching activities at EPFL or ETH Zurich
- Master degree in physics, materials science, or chemistry, with a focus on numerical simulations
- Prior experience with computational project work is essential
- Prior experience with density functional theory is desirable
- Proficiency in the Python programming language is required
- Familiarity with other programming languages, particularly Fortran, is a plus
- Strong written and oral communication skills in English are necessary
- The ability to work independently and collaborate effectively with both theoretical and experimental partners is essential
Villigen / Argovie / Aargau / CH-5234 Villigen / Würenlingen