4 Apr 2026
Job Information
- Organisation/Company
CNRS / Sorbonne Université- Research Field
Chemistry
Technology » Materials technology
Physics- Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)- Application Deadline
29 Apr 2026 - 22:00 (UTC)- 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
The aim is to develop machine-learning models that describe how nanoparticles interact with each other, even when they have complex, non-spherical shapes (such as rods, cubes, triangles, or stars). To do this, we will generate interaction data points using macroscopic physical models (including dispersion forces, magnetic effects, and ligand–solvent interactions), and train modern deep-learning methods to create smooth and reliable energy landscapes. A key goal is predict how nanoparticles prefer to attach to each other.
The machine-learning models will be validated against detailed atomistic simulations and compared with experimental results on self-assembly. Ultimately, this will allow us to predict how complex nanoparticles organize into superlattices.
Recent publications related to the project:
Costanzo, S. et al. Nanoscale, 2021, 12, 24020-24029.
Lahouari, A., Piquemal, J.-P. and Richardi, J. J. Phys. Chem. C 2024 128, 1193-1201
Funding category: Contrat doctoral
PHD Country: France
Where to apply
- Website
- https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137718
Requirements
Specific Requirements
The candidate should have a Master (or equivalent) in Theoretical and/or Computational Chemistry or related atomistic/molecular sciences (Computational or Molecular Physics etc.). Speaking French is not required.
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- CNRS / Sorbonne Université
- Country
- France
- City
- Paris
- Geofield
STATUS: EXPIRED
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