A Postdoctoral Research Associate position is available in computational chemistry to work under the supervision of Professor Graeme Day on a prestigious European Research Council Synergy Grant, ADAM - Autonomous Discovery of Advanced Materials.

applications should be made through the following website by 10 October, 2023:

https://jobs.soton.ac.uk/Vacancy.aspx?ref=2438923EB

The project is developing the integration of computational methods for identifying promising materials with automation in the materials chemistry lab. The project brings together state-of-the-art predictive computational chemistry methods, robotics, machine learning and materials characterisation through a collaboration between research groups at the universities of Southampton, Liverpool and Rostock.

This is an exciting opportunity to work with simulation methods including molecular organic crystal structure prediction, evolutionary algorithms for generating new, promising molecules, and machine learning to accelerate the simulations and analyse large-scale data. This research will advance the project vision of computationally led materials discovery with initial applications in the areas of porous materials and photocatalysts. 

To find out more about the research group at http://www.crystalstructureprediction.net). 

Experience in the use of computer simulations is essential, as well as a desire to work with team members to achieve the project goals. Excellent verbal and written communication skills are required.