A postdoctoral opening is available in the group of Prof. Stefano Angioletti-Uberti at Beijing University of Chemical Technology, Beijing, PR China, to work on water droplets nucleation in presence of pollutants, as part of a big project funded by the Beijing Municipal Government to understand and control haze formation. The project entails the development of a neural network potential [Behler & Parrinello, Phys. Rev. Lett. 98 (2007)] for the H2O + H2SO4 system, and its use to drive advanced sampling simulations to study the gas-liquid nucleation process. The prospected candidate should have a strong background in DFT and either molecular dynamics or Monte Carlo simulations, and be willing to learn the Machine Learning techniques necessary for the completion of the project. This position is available for 2 years, with an internationally competitive salary and generous fringe benefits. After this period there is possibility of an extension as well as promotion to a permanent academic position upon positive evaluation. Although it will be mostly based in Beijing, the postdoc will be required some travelling to Germany in the group of Prof. Jörg Behler, who will be collaborating in the development of the neural network potential. Interested candidates should send their CV as well as a cover letter to Prof. Stefano Angioletti-Uberti at [email protected] (stefano at buct dot edu dot cn ).