PhD Position- Inverse Materials Design: The MatMat group is seeking a highly motivated PhD candidate to explore error-controlled Bayesian optimization methods for inverse materials design, focusing on the discovery of new materials via systematic simulations and statistical surrogates.
Title: PhD Position – Error-Controlled Bayesian Methods for Inverse Materials Design
Designation:
PhD Candidate
| Field | Details |
|---|---|
| Research Area | Inverse Materials Design |
| Location | EPFL, Lausanne, Switzerland |
| Salary | According to EPFL’s regulations |
| Starting Date | Autumn 2025 |
| Application Deadline | Rolling basis until a suitable candidate is found |
Eligibility/Qualification:
- Completed Master’s (or 4-year Bachelor) in physics, mathematics, or a related field.
- Strong academic record demonstrating potential for research excellence.
- Background in one or more of the following areas: Bayesian optimization, Gaussian Process Regression, mathematical structure of quantum physics, condensed matter physics, atomistic modeling, or electronic structure theory.
- Strong interest in numerical methods and their applications to physics and materials simulations.
- Fluency in written and oral English.
Job Description:
As a PhD candidate in the MatMat group, you will focus on the application of statistical surrogates within a Bayesian optimization framework to discover novel materials. You will participate in the following tasks:
- Develop robust methods to estimate errors in DFT simulations.
- Collaborate with a diverse team of researchers on interdisciplinary projects.
- Enhance the efficiency of materials simulation processes.
- Engage in both theoretical and practical aspects of materials modeling.
Bonus skills:
- Experience in sustainable software engineering or high-performance computing.
How to Apply:
Interested candidates should submit a detailed curriculum vitae, a cover letter outlining their research interests and relevant experiences, and contact information for at least two references. Applications can be sent via the official EPFL portal or directly to the MatMat group.
Last Date to Apply:
Applications will be reviewed on a continuous basis until a suitable candidate is found.
For more information on working at EPFL and specific conditions regarding PhD admission, you may visit the EPFL employment website.
