MOLE

Manifold Optimization and LEarning

The project MOLE (Manifold Optimization and LEarning) aims at developing and analyzing new numerical algorithms to solve nonlinear tensor least-squares problems and to train deep neural networks on low-parametric Riemannian manifolds. The project is a collaboration with University of Florence and GSSI.

It has been financed in the PRIN2022 program by the Italian Minister for University, and is bound to start on February, 4 2025.

Positions

  • A postdoc position for 18 months is now available at GSSI; the postdoc will be supervised by Francesco Tudisco; the deadline for applying is the 20th of January 2025 (15:00 italian time). Candidates interested in the position are welcome to contact me for further information.