PhD Positions

Sofiane Tanji

Host Institution: UCL

Duration: 36 Months

Contact person: François Glineur

Workpackages to which it is related: WP1, WP4

Objectives: Develop a common framework to accurately describe first-order methods and their applicability to specific formulations or equivalent reformulations of optimization problems in data science, and predict the corresponding computational cost.


I was born and raised in Burgundy, France where I attended preparatory classes for engineering school to prepare entrance exams of French "Grandes Ecoles" (competitive engineering schools). In 2018, I enrolled in Grenoble INP Ensimag where I attended various applied mathematics courses. For my Master thesis, I visited the LCSL departement at University of Genova to work on accelerated first-order methods for kernel machines.

Motivation: During my studies, I had the chance to intern at various research facilities working on speeding up the resolution of large-scale learning problems. This field has a great variety of open research problems. This PhD is an excellent opportunity to tackle some of these problems within an international research environment.

Hobbies: I enjoy mountain hiking, football and voluntary teaching.

“Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less. -Marie SKŁODOWSKA-CURIE”