As part of an ambitious project that seeks to deploy and expend artificial intelligence (AI) methods and capabilities for challenging open problems in material science,  we are looking for a postdoctoral researcher (2 years) with a strong track record of research in computational physics and material science and use to work with complex data.
The aim of material discovery is to identify possible material compositions and structures that, if synthesized, would have specific physical properties. The difficulty associated with this problem is two-fold. On the one hand, the number of possible materials to be screened is very large, with existing databases reaching hundreds of thousands of materials for which only basic characteristics are available.  On the other hand, methods to assess the physical characteristics being looked for are extremely costly and time consuming. It can be achieved either experimentally by synthesizing candidate compounds or through first-principle calculations.

The objective of the research to be carried out in this position is to explore the electronic transport properties of disordered materials using first principle calculations and AI approaches.

The target start date for the position is December 1st, 2023, with some flexibility on the exact start date.

HOW TO APPLY
Applicants are requested to submit the following materials:
• A cover letter applying for the position
• Full CV and list of publications
• Academic transcripts (unofficial versions are fine)

Deadline for application is June 23rd, 2023. Applicants will be interviewed by an Ad Hoc Commission by July 15th 2023.
Applications are only accepted through email. All document must be sent to [email protected] and [email protected]