We are looking for an outstanding candidate for a PhD position that is focused on studying mixtures of photoactive molecules at the atomic scale. The position is hosted at Chalmers University of Technology in Gothenburg (Sweden)  and part of the SwedNess Research School (https://www.swedness.se/).

The objective is to develop and apply a computational framework that combines atomic-scale modeling, machine learning techniques, and neutron scattering data in order to extract structural and dynamical information of liquid chromophores in both their ground and excited states. While the project is focused on perylene derivatives [1,2], which represent a particular important class of chromophores, the general approach is of interest for many related systems, including materials for solar-thermal storage, photon upconversion, and organic semiconductors. The present project thus touches several of the important research and training areas identified in SwedNess, including software development, soft condensed matter as well as chemistry and materials for energy.

It is part of the SwedNess Graduate School (https://www.swedness.se/), which is a graduate school providing research training in neutron scattering and is operated by six Swedish universities, with the aim to strengthen Sweden's long-term competence and competitiveness within the area. As a member of this school you will receive special training in neutron related research topics, be able to interact with a large group of researchers from different backgrounds and be part of a bigger effort toward the strengthening of neutron research, both at the international and Swedish level.

You can find more extensive information pertaining to this position in the official announcement and more information about our activities at https://materialsmodeling.org/. Applications need to be submitted via the Chalmers job application system.

[1] A Record Chromophore Density in High-Entropy Liquids of Two Low-Melting Perylenes: A New Strategy for Liquid Chromophores, Kushwaha et al., Advanced Science 6, 1801650 (2019)
[2] Optimizing photon upconversion by decoupling excimer formation and triplet triplet annihilation, Ye et al., Physical Chemistry Chemical Physics 22, 1715 (2020)