Theoretical/Computational Postdoc Position: Join the Aqueous Battery Consortium at SLAC-Stanford as a Theoretical/Computational Postdoc and contribute to cutting-edge research aimed at enabling the new Aqueous Battery technology using state-of-the-art computational methods, molecular dynamics, and machine learning tools.
Theoretical/Computational Postdoc Position at Aqueous Battery Consortium
Designation
Theoretical/Computational Postdoc Position
Location
SLAC National Accelerator Laboratory, 2575 Sand Hill Road MS31, Menlo Park, CA 94025, USA
Research Area
- Battery Materials
- Molecular Dynamics
- Machine Learning
- Electrochemistry
Eligibility/Qualification
- PhD in Material Science, Physics, or Chemical Engineering/Chemistry within the past 3 years.
- Detailed understanding of modeling of bulk battery materials properties.
- Experience in molecular dynamics at interfaces (electrolytes and electrochemistry).
Job Description
The successful candidate will engage in research involving:
- Modeling and simulation of bulk battery materials, focusing on molecular dynamics at interfaces.
- Utilizing knowledge of density functional theory and its applications in battery redox processes, SEI, and bulk electrolytes.
- Applying machine learning techniques alongside classical or ab-initio molecular dynamics.
Professional Skills Required:
- Strong team skills with the ability to manage and monitor multiple projects simultaneously.
- Independent, quick learning, and adaptable mindset with a good work ethic.
- Proficiency in oral, written, and graphical communication in English.
Methods & Toolset:
- Knowledge of density functional theory.
- Experience with Pymatgen and Pourbaix Diagrams, as well as ASE (Atomic Simulation Environment).
- Proficiency in mid- to high-level Python programming.
How to Apply
Interested individuals should submit the following:
- A letter of application stating the interest in the position and qualifications.
- A curriculum vitae (CV).
- A list of publications.
- Contact information for 2-3 references.
Submit your applications to:
- Dr. Michal Bajdich: bajdich@slac.stanford.edu
- Prof. Alan Luntz: acluntz@stanford.edu
Last Date to Apply
January 21, 2025
Feel free to explore more about the Aqueous Battery Consortium here.
