Research Projects Lyon

Ralf Everaers ralf.everaers[at]ens-lyon.fr

• Study of self-assembled monolayers (SAM) by Monte Carlo simulations
• Preferred background: Physics, Chemistry or Material science

Françoise Delbecq francoise.delbecq[at]ens-lyon.fr

• Selectivity in heterogeneous catalysis : theoretical study of the hydrogenation of prenal on Pt(111)
• Preferred background: physical chemistry, notions of quantum chemistry

Lyndon Emsley lyndon.emsley[at]ens-lyon.fr

• Ab Initio Crystal Structure Determination in Powders from NMR Chemical
• Shifts Using Periodic DFT Approaches
• Preferred background: chemistry or physics

• Understanding the role of loops in DNA  hairpin fluctuations

Paul Fleurat Lessard Paul.Fleurat-Lessard[at]ens-lyon.fr

• Tracing minimum Free energy pathways or how to find reaction mechanisms without any help
• Preferred background: The interested student should have solid knowledge in physical chemistry, and some knowledge in theoretical and statistical chemistry. Some knowledge in scientific programming in Fortran (77 and/or 90) will be appreaciated. Basic knowledge of Linux/UNIX environment might help.

• Static and dynamic properties of spin glasses at low temperature
• Preferred background: physics

• Instability of tear propagation in reinforced elastomers: Theory
• Tear in elastomers : Effect of reinforcing fillers surface treatments. Theory and numerical simulations.
• Preferred background: theoretical physics, statistical physics or condensed matter physics

Didier Long didier.long-exterieur[at]eu.rhodia.com

• Polymer dynamics in the vicinity of an interface: effects of the surface treatment
• Preferred background: statistical physics and polymer physics

Torsten Herrmann torsten.herrmann[at]ens-lyon.fr

• Computational aspects of biomolecular NMR data analysis
• Preferred background: Physics/Chemistry
• Description: The successful candidate will work on the design of novel approaches for NMR data analysis of solution and solid state NMR data sets. The project will be embedded into the existing framework of the ATNOS/CANDID software package for automated NOE signal identification and NOE assignment. Close collaboration with experimental groups both inside and outside the institute is envisaged, keeping a healthy balance between theoretical sophistication and biological reality. Background: The successful candidate has a strong background in computational biology, mathematics, physics or related fields.