Call for applications: three doctoral contracts in computer science for the start of the 2023 academic year
The Graduate Programme in Computer Science of the University Paris Sciences et Lettres (PSL) will fund three (3) PhD grants (“doctoral contracts”) for the start of the 2023 academic year. Applications are open to all, regardless of nationality. If admitted, the student will have to register as a PhD student in computer science and prepare his/her thesis in one of the PSL research centres. Priority will be given to co-supervision between two PSL institutions and co-supervision between a PSL institution and an institution abroad.
This scheme, based on academic excellence, is open to students who have completed (or are in the process of completing)
- a Master 2 in computer science or mathematics; or
- an equivalent degree (e.g., engineering degree, foreign Master's degree).
To apply: candidates and their supervisors submit an application for admission to the doctoral programme and the award of a doctoral contract. The contract will cover three years of thesis (as an indication, 2044 €/month gross in 2023-2024 for a first year doctoral student, i.e., approximately 1550 € net after taxes). The tuition fees (approximately 380 € per year in 2022) remain payable by the students at the time of their administrative registration.
- Thesis project (succintly written)
- Letter of commitment from the thesis director
- Letter from the candidate explaining why he/she has chosen this thesis
- Curriculum Vitae
- Transcripts (L1 to M2; if M2 in progress, grades available to the candidate)
Deadline for receipt of applications: Thursday 1 June at 23:30.
If you are a potential advisor, do not hesitate to contact us (email@example.com) if you have any questions, and/or to inform us of your intention to apply.
Three doctoral contracts were awarded, following the call for applications, to the following students:
- Valentin Barbazo, for a PhD thesis supervised by Xavier Rival within DI ENS
- Antoine Gauquier, for a PhD thesis supervised by Pierre Senellart and Ioana Manolescu within DI ENS
- Jiaxin Xuan, for a PhD thesis supervised by Daniela Grigori and Han van der Aa within LAMSADE