POEMA (Polynomial Optimization, Efficiency through Moments and Algebra)
Marie Skłodowska-Curie Innovative Training Network (2019-2022)
Contact: firstname.lastname@example.org or the site leaders.
- Inria, Sophia Antipolis, France, (Bernard Mourrain)
- CNRS, LAAS, Toulouse France (Didier Henrion)
- Sorbonne Université, Paris, France (Mohab Safey el Din)
- NWO-I/CWI, Amsterdam, the Netherlands (Monique Laurent)
- Univ. Tilburg, the Netherlands (Etienne de Klerk)
- Univ. Konstanz, Germany (Markus Schweighofer)
- Univ. degli Studi di Firenze, Italy (Giorgio Ottaviani)
- Univ. of Birmingham, UK (Mikal Kocvara)
- Friedrich-Alexander-Universitaet Erlangen, Germany (Michael Stingl)
- Univ. of Tromsoe, Norway (Cordian Riener)
- Artelys SA, Paris, France (Arnaud Renaud)
- IBM Research, Ireland (Martin Mevissen)
- NAG, UK (Mike Dewar)
- RTE, France (Jean Maeght)
POEMA network goal is to train scientists at the interplay of algebra, geometry and computer science for polynomial optimization problems and to foster scientific and technological advances, stimulating interdisciplinary and intersectoriality knowledge exchange between algebraists, geometers, computer scientists and industrial actors facing real-life optimization problems.
The proposed PhD projects are investigating the development of new algebraic and geometric methods combined with computer algebra techniques for global non-linear optimization problems and their applications, in particularly, in smarter cities challenges, urban traffic management, water network management, energy flow control, or environmental monitoring.