PhD Position in Polymer Synthesis, Machine Learning, and Biomedical Applications (CSC)

This PhD position at the Institut de Chimie et des Matériaux Paris Est (ICMPE) offers an exciting opportunity for students interested in polymer synthesis, sustainable polymers, and biomedical applications. The project is funded by the China Scholarship Council (CSC) and is supervised by Associate Professor Benoit Couturaud. Research topics include polymer synthesis, Polymerization-Induced Self-Assembly (PISA), and the development of polymer nanoparticles for biomedical and environmental applications. The project aims to leverage machine learning and data mining to optimize peptide-like polymer synthesis, predict optimal reaction conditions, and improve scalability. PISA will be used to design polypeptoid-based nanoparticles for applications such as drug delivery, antimicrobial coatings, and tissue engineering. The research will involve creating innovative block copolymers and comb-like copolymers using synthetic strategies like polycondensation, controlled radical polymerization, click chemistry, and polymer modification. Advanced characterization techniques such as chromatography, high-field NMR, FT-IR, elemental analysis, and thermogravimetry will be used. The nanoparticles will be analyzed for light scattering and bio-efficiency. Applicants should have a Master's degree in chemistry, polymer science, materials science, or a related field, with strong motivation for research and good communication skills. Interest in machine learning, organic chemistry, polymer synthesis, or biomedical applications is preferred. Candidates must be eligible for the CSC PhD scholarship. The position offers a dynamic, international research environment with opportunities for collaboration. The start date is flexible, depending on the CSC timeline, with an expected start in October 2026 and a duration of 4 years. Funding is provided by the CSC, typically covering tuition and living expenses. To apply, contact Dr. Benoit Couturaud with a CV, a brief description of research interests, marks and rankings from previous degrees, and a cover letter. The selection process is competitive and managed by an external committee.