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Postdoctoral position: machine learning methods ... (No replies)
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A postdoctoral position is available as part of the ERC Synergy grant ADAM - autonomous discovery of advanced materials.
You will join an interdisciplinary team led by Professor Graeme Day (http://www.crystalstructureprediction.net) in the School of Chemistry at the University of Southampton. The project brings together state-of-the-art predictive computational chemistry methods, robotics, machine learning and materials characterization through a collaboration between research groups at the universities of Southampton, Liverpool and Rostock.
Your role will focus on the development and application of machine learning approaches to accelerate the computational exploration of molecular materials. This will include machine learning models for fast energetic evaluation of crystal structures and approaches for generating new, promising molecules. These methods will be developed to advance the project vision of computationally led materials discovery with initial applications in the areas of porous materials and photocatalysts.
Informal enquiries should be directed to Graeme Day, [email protected].
Details on how to apply can be found at: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1359721EB