A Postdoc position in statistical mechanics / machine learning / materials science and a PhD in inverse materials design - metallic glasses

The postdoc is located at NOMATEN CoE (Warsaw, Poland). We are focusing in understanding, predicting, and designing the properties of complex metallic glasses (arXiv:2309.05806). The tools range from computer simulations to statistical mechanics to machine learning. An eventual collaboration with experiment is foreseen. We are in particular interested in the application of machine learning techniques in understanding and prediction and we are developing a number of approaches including a hand-shake with Density Functional Theory methods.

Interested candidates are requested to contact Mikko Alava (@ncbj.gov.pl) or Anshul Parmar (@ncbj.gov.pl). The application DL is June 1^st and the position is initially for one year with the possibility of extension.

The official ad is at https://euraxess.ec.europa.eu/jobs/213824.

Related to the same project there is a PhD position open in a collaboration with Aalto University, where we apply inverse methods and statistical mechanics for materials design. Please contact Mikko Alava (@aalto.fi).

https://www.aalto.fi/en/open-positions/14-doctoral-researchers-for-the-doctoral-education-pilot-for-mathematics-of-sensing-imaging-and (May 15^th DL)