3D metal printing control using innovative laser sources, digital augmented models and artificial intelligence (CINDERELLA)
26 Jan 2026
Job Information
- Organisation/Company
Centre de Mise en Forme des Matériaux (CEMEF)- Research Field
Technology » Materials technology- Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)- Application Deadline
29 Apr 2026 - 22:00 (UTC)- Country
France- Type of Contract
Temporary- Job Status
Full-time- Offer Starting Date
1 Oct 2026- 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
General context of the project:
The Laser Powder Bed Fusion (LPBF) process is currently at the peak of its industrial development, thanks to its ability to produce complex geometries. However, a number of known bottlenecks limit its capacity and wider industrial dissemination: Lengthy, iterative parametric research, difficulties in microstructures adaptation, process instabilities, lack of reliable and of on-line process control requiring high-performance numerical tools for upstream optimization of the process
PhD objectives:
The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering both experimental and numerical approaches assisted by Artificial Intelligence (AI), from laser-material interaction to liquid metal pool and microstructure generation.
The overall objective of CINDERELLA is to accelerate the mastery of the L-PBF process by considering both an experimental and numerical approach assisted by Artificial Intelligence (AI), at various scale, from laser-material interaction to liquid metal pool and microstructure generation. To this end, the main focus of the PhD project is the AI assisted multiphysics modeling/simulation of the LPBF process.
The project aims to develop a digital twin of the process. The approach is to couple phenomenological models obtained by AI processing of experimental data with Finite Element Models (model reduction by AI) and Cellular Automata (CAFE) to considerably reduce calculation times and improve the response of numerical models.
The numerical models will include laser-matter interaction, melt, and microstructure prediction models as optimized CAFE approaches. A validation on controlled materials by comparing simulation and experimental results over a wide parametric range (model robustness and generalization study) will be developed. Subsequently, experimental and numerical studies are foreseen on materials that are more difficult to use in L-PBF
see more here
https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01/Phd_Cind…
Funding category: Contrat doctoral
PHD title: Doctorat en Mécanique Numérique et Matériaux
PHD Country: France
Where to apply
- Website
- https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/135273
Requirements
Specific Requirements
Candidate in engineering school or master 2 level, in material science or mechanics with experience in numerical modeling.
An interest in additive manufacturing processes and/or Artificial Intelligence (IA) methods is expected.
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Centre de Mise en Forme des Matériaux (CEMEF)
- Country
- France
- City
- Sophia Antipolis
- Geofield
Contact
- Website
https://www.cemef.minesparis.psl.eu/
STATUS: EXPIRED
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