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Une opportunité de doctorat dans le domaine de la chimie, axée sur la recherche de polymères numériques pour le stockage de données. Le candidat rejoindra une équipe de recherche prestigieuse au sein d'une institution reconnue, supervisé par un expert dans le domaine. La recherche portera sur l'étude et la caractérisation de polymères innovants, avec des applications potentielles dans la gestion des données à grande échelle.
Organisation/Company CNRS Department Institut de Science et d'Ingénierie Supramoléculaires Research Field Chemistry » Physical chemistry Physics » Chemical physics Physics » Biophysics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 4 Jul 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2025 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
This recruitment will take place within the framework of the PEPR moleculArXiv, the objective of which is to prepare macromolecules containing digital information. The recruited person will join the Laboratory of Chemistry of Informational Macromolecules (LCMI) of the Institute of Supramolecular Science and Engineering (ISIS). The LCMI is one of the 8 senior research teams of ISIS and includes around fifteen members. The thesis will be supervised by Jean-François Lutz who is the team leader and will be attached to the doctoral school of chemical sciences (EDSC) of the University of Strasbourg.
Expected skills:
- Theoretical and practical skills in organic chemistry
- Theoretical knowledge in polymer chemistry
- Knowledge of the chemical synthesis of DNA (optional)
- Mastery of the usual techniques of molecular characterization (NMR, UV, IRTF, MS) - English level C2
- Writing of scientific reports in French and English
- Ability to work in a team, autonomy
The objective of this thesis will be to study the spatial organization of digital synthetic polymers, which are macromolecules allowing the storage of binary information. In order to find solutions for big data storage, the recruited person will study the automated parallel synthesis of digital polymers. The polymers formed will be characterized by HPLC, GPC, NMR and MS. The 2D and 3D organization of these polymers will also be part of the objectives of the thesis.