25 February 2019

Scientists Feng Gao and Daniel Aili, both at the Department of Physics, Chemistry and Biology, have been awarded research grants from the Horizon 2020 Marie Skłodowska-Curie Actions. The amount involved is approximately EUR 600,000 for 2 years.

Solar cells in a perovskite material. Perovskites are also promising materials for light emitting diodes.  Photographer: Thor Balkhed
The Marie Skłodowska-Curie Actions are an initiative within the EU Horizon 2020 programme designed to increase mobility among researchers. Feng Gao, senior lecturer in the Division of Biomolecular and Organic Electronics has received funding for two fellowships, enabling him to appoint postdocs in two projects. The first investigates efficient organic solar cells, the second stable blue light-emitting diodes in perovskites. Each grant is worth just over EUR 200,000 for 2 years.

Daniel Aili, associate professor in the Division of Molecular Physics, has received funding for one postdoc fellowship. He received just under EUR 200,000 for 2 years, to be used in a project to develop a new type of biosensor for biological pharmaceuticals, based on nanoparticles.

Translated by George Farrants

Contact

Latest news from LiU

Server room and data on black background.

Machine Psychology – a bridge to general AI

AI that is as intelligent as humans may become possible thanks to psychological learning models, combined with certain types of AI. This is the conclusion of Robert Johansson, who in his dissertation has developed the concept of Machine Psychology.

Research for a sustainable future awarded almost SEK 20 million grant

An unexpected collaboration between materials science and behavioural science. The development of better and more useful services to tackle climate change. Two projects at LiU are to receive support from the Marianne and Marcus Wallenberg Foundation.

Innovative idea for more effective cancer treatments rewarded

Lisa Menacher has been awarded the 2024 Christer Gilén Scholarship in statistics and machine learning for her master’s thesis. She utilised machine learning in an effort to make the selection of cancer treatments more effective.