BIGMATH is an EU funded PhD programme aimed to train a group of young, creative mathematicians with strong theoretical and practical skills, needed to tackle the major challenges of the Big Data era.
These abilities will result from a close partnership between academy, providing the students with up-to-date training and knowledge on cutting-edge research on targeted mathematical disciplines, and the group of industries, who will complete the competences of the PhD students by exposing them to a set of Big Data-related real industrial problems.
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 have been 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.