(M/F) PhD Thesis: Thermoelectric materials by numerical methods and ML
- FTC PhD student / Offer for thesis
- 36 mounth
- Doctorate
Offer at a glance
The Unit
Institut Charles Gerhardt Montpellier
Contract Type
FTC PhD student / Offer for thesis
Working hHours
Full Time
Workplace
34293 MONTPELLIER
Contract Duration
36 mounth
Date of Hire
05/10/2026
Remuneration
2300 € gross monthly
Apply Application Deadline : 22 April 2026 00:00
Job Description
Thesis Subject
The project aims to discover new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning-based interatomic potentials, and active learning strategies for identifying materials with high thermoelectric efficiency (ZT figure of merit).
Your Work Environment
International joint supervision thesis: the doctoral student will spend 18 months in Montpellier (supervisor: Prof. Philippe Jund) and 18 months in Louvain-la-Neuve (supervisor: Prof. Gian-Marco Rignanese).
Compensation and benefits
Compensation
2300 € gross monthly
Annual leave and RTT
44 jours
Remote Working practice and compensation
Pratique et indemnisation du TT
Transport
Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€
About the offer
| Offer reference | UMR5253-PHIJUN-004 |
|---|---|
| CN Section(s) / Research Area | Physical chemistry, theoretical and analytic |
About the CNRS
The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.
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