BIGMATH is run by an academic-industrial consortium, composed by

The main domains of interest of the BIGMATH project lie in the areas of optimization, statistics, and large-scale linear algebra for Big Data, which are the most relevant mathematical topics for effective machine learning techniques and ability to build good data-driven products.

7 PhD students will be enrolled by the academic centres in their local 3 or 4 years long PhD programs in Mathematics. Each student will spend at least 18 months in a company of the consortium, located in a different country, to develop a research project on a specific industrial application, with a joint academic-industrial supervision.

The students will also be trained to develop “transversal skills”, like communication, exploitation of scientific results, dissemination and public engagement, which  are designed to promote dissemination of excellent research and diffusion of innovation in Europe.