Atomistic and Machine-Learning Modelling of the Aluminum Combustion (M/F)

New

Laboratoire d'analyse et d'architecture des systèmes

TOULOUSE • Haute-Garonne

  • Researcher in FTC
  • 18 months
  • Doctorate

This offer is available in English version

This offer is open to people with a document recognizing their status as a disabled worker.

Offer at a glance

The Unit

Laboratoire d'analyse et d'architecture des systèmes

Contract Type

Researcher in FTC

Working hHours

Full Time

Workplace

31031 TOULOUSE

Contract Duration

18 months

Date of Hire

01/11/2026

Remuneration

3040-4200 euros

Apply Application Deadline : 09 October 2026 23:59

Job Description

Missions

The way aluminum is reacting with an oxidative atmosphere is of major interest in a number of timely applications, i.e. propellants, energetic materials at large, cyclable green energy production … We are seeking a strongly motivated post-doctoral researcher to work on the modelling of the high temperature Al-O system.
The candidate will take in charge DFT and AIMD (ab initio Molecular Dynamics) calculations to complete the set of already available data from our group, to answer specific and mechanistic at the most fundamental level of these systems. He will further develop MLP (Machine Learning Potential) using standard techniques, including active learning procedures.
The project has several scientific objectives:
(i) Establish/consolidate a machine learning interatomic potential dedicated to the Al-O system in the Al liquid temperature window,
(ii) Study the thermochemistry of oxide nucleation and growth within liquid aluminum
(iii) Investigate the interaction of alumina aggregates with liquid Al droplets.

Activity

DFT calculations
Machine learning tools for generating interatomic potentials
Molecular Dynamics

Your Profil

Skills

A recent PhD degree (within last three to five years) in Materials Science, noticeably Chemistry or related disciplines is required. We seek for a strongly motivated student with strong background in computational materials sciences, with skills in manipulating Density Functional Theory codes (VASP and LAMMPS mandatory) and MLP tools.

Your Work Environment

Position is in Toulouse (LAAS-CNRS laboratory), under the supervision of A. Estève and C. Rossi, MRS team, Energy Management department

Constraints and risks

no pertinent

Compensation and benefits

Compensation

3040-4200 euros

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 UPR8001-ALAEST-007
CN Section(s) / Research Area Mathematics and mathematical interactions
Relevant experience 1 to 4 years

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.

CNRS

The research professions

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Atomistic and Machine-Learning Modelling of the Aluminum Combustion (M/F)

Researcher in FTC • 18 months • Doctorate • TOULOUSE

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