Theoretical/Computational Postdoc Position: Join the Aqueous Battery Consortium at SLAC-Stanford in California, USA, as a Theoretical/Computational Postdoc. This position offers the opportunity to engage in cutting-edge research utilizing state-of-the-art computational methods, molecular dynamics, and machine learning tools to enable advancements in aqueous battery technologies.
Theoretical/Computational Postdoc Position at Aqueous Battery Consortium
Designation
Theoretical/Computational Postdoc
| Category | Details |
|---|---|
| Research Area | Aqueous Battery Technologies |
| Location | SLAC National Accelerator Laboratory, Menlo Park, CA, USA |
| Eligibility/Qualification | PhD in Material Science, Physics, or Chemical Engineering/Chemistry (within the last 3 years) |
| Job Description | Conduct research on modeling bulk battery materials and electrochemical interfaces, utilizing computational tools and methodologies. |
| How to Apply | Submit a letter of application, CV, list of publications, and contact information for 2-3 references to the provided contacts. |
| Last Date to Apply | January 21, 2025 |
Research Area
- Aqueous Battery Technologies
- Computational Methods
- Molecular Dynamics
- Machine Learning Applications in Battery Research
Location
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road MS31, Menlo Park, CA 94025, USA
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 and/or molecular dynamics at interfaces, such as electrolytes and electrochemistry.
Job Description
The ideal candidate will have experience with:
- Density Functional Theory and its applications to bulk materials or heterogeneous catalysis.
- Battery redox processes, SEI, and bulk electrolytes.
- Using machine learning (ML) tools and classical or ab-initio molecular dynamics.
- Proficiency in mid- to high-level Python programming, particularly with Pymatgen and ASE.
Successful applicants will demonstrate:
- Excellent team skills.
- Ability to manage and monitor multiple projects simultaneously.
- Independent thinking and strong problem-solving abilities.
- A strong work ethic and readiness to learn and grow.
- Competency in oral, written, and graphical communication in English.
How to Apply
Interested applicants should provide:
- A letter of application explaining their interest in the position and detailing qualifications based on the listed credentials.
- A current curriculum vitae (CV).
- A list of publications.
- Contact information for 2-3 professional references.
Please send your application materials via email to:
- Dr. Michal Bajdich: bajdich@slac.stanford.edu
- Prof. Alan Luntz: acluntz@stanford.edu
Last Date to Apply
- January 21, 2025
For additional information on the Aqueous Battery Consortium and ongoing research, please visit ABC Hub.
