École Polytechnique Federale Lausanne (EPFL), MatMat
Position ID:
3222-POSTMATMAT [#26364]
Position Title:
Gradient-accelerated first-principle materials design
Position Type:
Postdoctoral
Position Location:
Lausanne, Vaud 1015, Switzerland
Subject Area:
Computational Mathematics
Appl Deadline:
2025/05/31 11:59PM
(posted 2025/02/27, listed until 2025/08/27)
(posted 2025/02/27, listed until 2025/08/27)Position Description:
Position Description
The mathematics for materials modelling group (MatMat, https://matmat.org) at the Ecole Polytechnique Fédérale de Lausanne (EPFL) invites applications for a postdoctoral researcher position. We seek an outstanding candidate with a PhD in computational mathematics or a related subject and an interest towards modelling materials at the atomic scale, such as electronic structure theory or statistical learning on atomistic structures. The position will focus on employing algorithmic differentiation techniques on density-functional theory simulations to accelerate property-guided inverse materials design. The ideal candidate should have expertise in multiple of the following aspects: Bayesian techniques for surrogatisation, Bayesian optimisation, method development for inverse problems, first-principle methods in materials science (such as density-functional theory or molecular dynamics). Screening of candidates will be done on a rolling basis until the position has been filled. Expected starting date is the second half of 2025. For more information and details how to apply, see https://matmat.org/jobs/.We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://matmat.org/jobs/guidelines/
.- Contact: Michael Herbst
- Email:
- Postal Mail:
- Mathematics for Materials Modelling (MatMat)
École polytechnique fédérale de Lausanne
Station 8
CH-1015 Lausanne
- Mathematics for Materials Modelling (MatMat)
- Web Page: https://matmat.org/jobs/