PhD positions, Molecular Dynamics study of Soft-Matter Systems, Politecnico di Torino, Italy (Deadline: 30.04.2025)
Opening for 3-year PhD positions on Molecular Dynamics study of soft-matter systems at Politecnico di Torino – DISAT (Italy) – funded by the project “SYSMAGRAD: Coupling Synthetic Supramolecular Materials with Controlled Chemical Gradients.”
The context:
Leveraging on innovative computational techniques, the SYSMAGRAD project will investigate the coupling between supramolecular materials and chemical gradients.
Biomaterials naturally couple with the chemical gradients that surround them, giving rise to many fascinating properties, such as autonomous motion, self-catalysis, and regeneration. Engineering synthetic materials that can couple in a similar way with external chemical gradients is a topical challenge, demanding a detailed understanding of the coupling mechanisms between supramolecular materials and their chemical environment.
Computer simulations bear the potential to capture the subtle details of the coupling between soft, dynamic materials and their environment.
The SYSMAGRAD project aims at: (i) building well-suited computational methodologies to investigate the interaction between chemical gradients and supramolecular materials, and (ii) applying these techniques to study different, fascinating molecular systems.
The PhD candidates will work, starting from the 1st of November 2025, on the development of cutting-edge Molecular Dynamics techniques and/or on the application of such techniques to the study of different molecular systems (e.g. supramolecular polymer systems, micelle reactors, complex molecular liquids).
They will be part of a multidisciplinary team based at Politecnico di Torino, in the beautiful city of Turin (Italy).
We look for motivated candidates that own (or will soon have) an M. Sc. in physics/chemistry or related disciplines, with strong interests and some experience in:
- MD simulations(Gromacs, Lammps). Mostly classical, ab-initio knowhow is welcome!
- Soft-matter and polymeric materials science.
- Chemical physicsand statistical mechanics.
- Programming& HPC.
