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28 Sep 2026

Job Information

Organisation/Company
Lyon 1 University - Institut Lumière Matière
Department
Physics
Research Field
Physics » Computational physics
Researcher Profile
Established Researcher (R3)
Positions
Other Positions
Application Deadline
Country
France
Type of Contract
Temporary
Job Status
Full-time
Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

Summary of the scientific project:

The Institut Lumière Matière (iLM) is an internationally recognized research laboratory in physics and chemistry, combining fundamental research, innovation, and contributions to major societal challenges. It has developed integrated expertise in materials synthesis, characterization, and modelling, drawing in particular on numerical simulation and artificial intelligence.
The successful candidate will develop, within the MMCI team, a research program in materials modelling based on the development of artificial intelligence methods. They will develop machine-learning approaches to accelerate simulations and overcome current limitations in system size and timescale. The objective will be to model complex systems up to mesoscopic scales while retaining accuracy derived from quantum-level approaches. Research will focus in particular on nanostructured materials, van der Waals heterostructures, coordination polymers, and solid–liquid interfaces, with applications in energy-efficient electronics and in the storage, conversion, and sustainable management of energy.
The successful candidate will be expected to demonstrate the ability to conduct innovative research at the highest international level, secure competitive funding, and develop collaborations, particularly across the Lyon research ecosystem. They will establish their research within the MMCI team and may develop strong interactions with the DIAMOND platform of the DIADEM PEPR, thereby contributing to accelerating materials discovery.
The position lies at the interface of physics, materials science, numerical simulation, and artificial intelligence. The intelligent management of high-performance computing and the reduction of its environmental impact will require the development of advanced modelling methods capable of describing materials with quantum-level accuracy while limiting the energy consumption associated with computational workload.

Summary of the teaching project:
The Department of Physics has a strong policy aimed at supporting student success, based in particular on a competency-based approach, academic mentoring by designated faculty members, international openness, the development of professionally oriented programmes, and continuing education.
It offers a broad range of programmes in physics and related fields. The Department regularly upgrades its teaching laboratories, evaluates and develops its curricula, and contributes to interdisciplinary teaching.
The successful candidate will teach at all levels, from undergraduate to master’s programmes, within the courses coordinated by the Department of Physics, including lectures, tutorials, and laboratory classes.
Teaching may cover topics related to the candidate’s research activities, both at undergraduate level and within the Master’s programmes in Fundamental Physics and Applications and in Materials Science. The successful candidate may in particular contribute to the future “Quantum and Complex Light-Matter Physics” track. Part of the Master’s-level teaching may be delivered in English.
The successful candidate will also contribute to the development of courses on artificial intelligence and machine-learning methods applied to the physical sciences.

Requirements

Research Field
Physics » Condensed matter properties
Education Level
PhD or equivalent
Languages
FRENCH
Level
Good
Research Field
Physics
Years of Research Experience
4 - 10

Additional Information

Work Location(s)

Number of offers available
1
Company/Institute
Lyon 1 University
Country
France
City
Lyon
Postal Code
69100
Geofield

Contact

City
Villeurbanne
Website
Street
43 bd du 11 novembre, 69100 Villeurbanne, France
Postal Code
69600

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