A PostDoc position (High Dimensional Quantum Dynamics with Deep Machine Learning) is currently available in the theoretical chemistry group of the Department of Chemical and Pharmaceutical Sciences at the University of Trieste under the supervision of prof. Daniele Toffoli. In this project we aim at developing and applying libraries of machine learning based on deep neural networks to the sampling of high-dimensional potential energy surfaces such as those characterizing the conformational degrees of freedom of the organic layer in monolayer protected metal nanoparticles. The project is funded by Regione Friuli Venezia Giulia within the Fondo Sociale Europeo programme (POR-FSE 2014-2020) and the position is for one year.

Candidates with a background in computational chemistry/physics/materials science are encouraged to apply before the 7^th of July. Guidelines including how to apply  for the position and on requirements for applications can be found on the dedicated web site of UniTS: (http://web.units.it/concorsi/ricerca/assegni-ricerca/pub). Online applications are processed on the PICA platform (https://pica.cineca.it/units).

For further inquiries about the position, please contact prof. Daniele Toffoli ([email protected]).