M/F Postdoctoral Position Modelling the molecular separation performances of Hybrid porous materials

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description To Identify MOF porous sorbents for molecules of interests in the fields of energy and environment (CO2, volatile organic compounds, H2O. ) by numerical simulations. To generate novel MOF stuctures in silico with enhanced adsorption performance for the target molecules. Molecular modelling (Monte Carlo, Molecular Dynamics) with generic Force fields and Machine Learning Force fields. Creation of codes for the generation of new MOF structures. Computational effort intertwined with experimental findings obtained by several groups, the host team has been working with for decades. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5253-GUIMAU-058/Default.aspx . Requirements Research Field Chemistry Education Level PhD or equivalent . Research Field Physics Education Level PhD or equivalent. Languages FRENCH Level Basic . Research Field Chemistry Years of Research Experience None . Research Field Physics Years of Research Experience None. Additional Information . Eligibility criteria. Expert in the field of modelling MOF structures and their adsorption properties, code writting for the generation of MOF structures. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5253-GUIMAU-058/Default.aspx. <h2