16 Apr 2026
Job Information
- Organisation/Company
Université de Rouen Normandie- Research Field
Chemistry
Technology » Materials technology- Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)- Application Deadline
25 May 2026 - 22:00 (UTC)- Type of Contract
Temporary- Job Status
Full-time- Offer Starting Date
1 Sep 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
The SMS Laboratory at the University of Rouen Normandie is seeking a motivated PhD candidate for the CRONOSS project, which aims to revolutionize crystallization control by combining in silico simulations with experimental validation. The successful applicant will develop a predictive pipeline using atomistic modeling and machine learning to identify optimal "seeds" for directing crystal growth, followed by rigorous experimental testing on pharmaceutical and functional materials. This role requires a strong background in Material Science, Physics, or Chemistry, coupled with a genuine interest in bridging computational and experimental work. The candidate will tackle complex challenges such as polymorphism in drugs and the synthesis of luminescent co-crystals, contributing to a novel methodology for tailoring material properties. Supervision is provided by Ivo Rietveld and Clément Brandel, with access to international research networks and advanced characterization facilities. Please note that the funding for this project is not yet confirmed.
Funding category: Financement public/privé
Région Normandie, financement pas encore confirmé.
PHD title: Doctorat de Physique
PHD Country: France
Where to apply
- Website
- https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/138463
Requirements
Specific Requirements
We are looking for a highly motivated PhD candidate with a Master’s degree in Chemistry, Physics, Materials Science, or Chemical Engineering. The perfect applicant possesses a genuine curiosity about the intersection of computational modeling and experimental synthesis. We welcome applicants from either a strong computational background (experience with molecular dynamics, DFT, or machine learning) or a robust experimental background (crystallization, X-ray diffraction, spectroscopy). You are driven by the challenge of solving complex "real-world" problems, such as optimizing drug solubility or designing luminescent materials, and you see value in using computer simulations to guide physical experiments.
Skills: A solid foundation in thermodynamics and crystallography is essential. Most importantly, you should be eager to collaborate with international experts and comfortable working in a multidisciplinary environment where theory meets practice.
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Université de Rouen Normandie
- Country
- France
- City
- Rouen
- Geofield
Contact
- Website
https://labsms.univ-rouen.fr
STATUS: EXPIRED
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