Annual PhD Funding Campaign

  • Digital and Social Sciences
  • Digital and the Environment
  • Applied quantum technologies (quantum computing, quantum simulation, quantum communication or quantum metrologies and sensing), in partnership with QuantEdu-France through QuantAzur Institute
  • Artificial Intelligence, in partnership with the 3IA Côte d’Azur
Why should you apply?
How to apply?
As a PhD student

Application deadline: May, 9th - Closed

To apply:

  • Simply click on the topic of your choice in the list below and click on the "Candidater/Apply" button at the bottom of the topic page
  • In any case, send an e-mail to the PhD supervisor to inform him or her that you apply.

The director will then select the student (s)he will support, prepare the application file and the audition with him/her, and submit the application file to DS4H Graduate school.

If you are selected, you will have to register to the doctoral school corresponding to your subject:

As a PhD supervisor

Application deadline: May, 9th - Closed

PhD supervisors apply for DS4H fundings after having selected a PhD candidate on a PhD given topic.

Folders submitted by the potential PhD supervisors should contain :

  • A description of the chosen PhD subject
  • The candidate’s CV 
  • Letter of motivation from the candidate
  • If the master is still in progress: the transcripts of at least Master 1 and the first semester of Master 2 (or equivalent) with, if available, the rankings among the master, and a scientific description of the current research internship
  • Else: the Master diploma, a complete transcript of the Master 2 or equivalent, and the dissertation with at least a summary in French or English
  • A letter of the potential PhD supervisor with commitment to supervise the candidate, a description of the knowledge (s)he has of the candidate, and why (s)he chose this candidate on this subject
  • Optionally : recommendation letters and any document likely to support the quality of the triplet

How to submit a PhD subject?

Before May, 9th - Closed

  • Conditions: please refer to the e-mail from Gilles Bernot, dated March 7th.

An additional allowance of 10 K€ will be allocated by DS4H Graduate school to selected subjects submitted before April, 12th.

Selection Process
What if the PhD of your dream is not on this list? or if you want to apply after the official closing of the campaign?

You can still contact your doctoral school or potential supervisor directly to identify open thesis subjects and fundings.
Identify the researcher of DS4H Graduate school's partner laboratories best matching your subject of interest and ask him/her if he/she would be willing to supervise you and if he/she can submit a specific topic for you.

Former Laureates

Since 2019, DS4H Graduate school has been awarding research grants targeting thematic priorities:

  • Digital and Social Sciences
  • Digital and the Environment
  • Artificial Intelligence, in partnership with the 3IA Côte d’Azur
  • And more recently, applied quantum technologies (quantum computing, quantum simulation, quantum communication or quantum metrologies and sensing), in partnership with QuantEdu-France through QuantAzur Institute


Discover below the 2023 doctoral projects. This list wil be updated on a regular basis until May, 9th.
2023 campaign is closed.

Thesis Topic Laboratory
Neuromorphic visual odometry for high-speed perception I3S
Assisted ambient living : use of LIDARs for non-intrusive indoor localization Inria (HEPHAISTOS team)
Extraction of event traces in biological networks: application to the circadian cycle I3S
Smart Identification and Visualization of Variability in Very Large Software Architectures I3S
Program recognition with artificial intelligence I3S
Hybridation of Constraint Programming and Language Model I3S
Leveraging behavioural semantics for the user-centric modelling and simulation of IoT systems I3S
Assistance in the sanitary and scientific monitoring of insect vectors for plant health by the acquisition of reliable knowledge from documents I3S
Integration of quantum key distribution into a security library I3S
Unveiling implicit inferences for advanced argument mining I3S
Attention mechanisms for graphical models, with applications to protein structure analysis Inria (ABS team)
Making newspaper layouts dynamic: Study of a new combinatorial/geometric packing problems Inria (BIOVISION team)
Activity waves in the retina: a modelling study Inria (BIOVISION team)
Quantum computing in topology Inria (COATI team)
Network monitoring and troubleshooting from within the browser: a data-driven approach Inria (DIANA team)
Monitoring Plane for mobile cellular networks Inria (DIANA team)
Experimental evaluation of sliced cellular networks Inria (DIANA team)
Detecting and analyzing market manipulation on Bitcoin Inria (DIANA team)
Re-thinking medical study statistical evaluation with resampling techniques Inria (DIANA team)
Computational Structural Reuse for Circular Design Inria (GRAPHDECO team)
Towards an intelligent overlay network for distributed IoT entities Inria (KAIROS team)
A Theory of Primitive Signals Inria (KAIROS team)
Clusterization models on random graphs with applications to social networks and image processing Inria (NEO team)
Topology Design for Decentralized Federated Learning Inria (NEO team)
Incentives for Federated Learning Inria (NEO team)
Elaboration in Type Theory via Logic Programming Inria (STAMP team)
Embedded Machine Learning Programming Inria Paris
Direct Visual Localisation and Mapping for Mobile Robots: Investigating Performance in Various Light Conditions and its Applicability to Autonomous Cars and Drones I3S
Graph-Based robust long-term data storage in synthetic DNA I3S
Drone formation control using reinforcement learning with guides I3S
Reconstruction of filaments in fluorescence microscopy by off-the-grid methods I3S
Super-resolution in fluorescence microscopy images by generative learning methods I3S
Quantum algorithms for vision-based robot localisation Inria (ACENTAURI team)
Natural environment aware navigation Inria (ACENTAURI team)
Safe Navigation in Urban Environment Inria (ACENTAURI team)
Optimal resource allocation in mathematical models of micro-organisms under dynamic environmental conditions Inria (BIOCORE team)
Modeling, analysis and control of cancer cell population dynamics Inria (BIOCORE team)
Geometry, stratification and applications of structured correlation matrices Inria (EPIONE team)
Field preprocessing and treatment of complex samples in the paleomagnetic context Inria (FACTAS team)
An image-based analysis of animal embryonic variability within and between species Inria (MORPHEME team)
Reinforcment learning : a new AI paradigm for histopathology Inria (MORPHEME team)
Action Detection in Untrimmed Videos based on Transformers Inria (STARS team)
Complex Miniature Antennas-Sensors made in 3D printing LEAT
Antenna design for future telecommunication systems LEAT
Development of innovative ambient backscatter devices based on reconfigurable antennas for ultra-low/zero power consumption IoT applications LEAT
Design and optimization of Reconfigurable Intelligent Surfaces for radar classifiers LEAT
Radar classification of buried objects by combining feature extraction methods and artificial intelligence LEAT
Delineating and Limiting Problematic Use of Digital Technologies GREDEG
The impact of identification with an avatar on behavior in economics and strategic decision-making: application of Experimental Economics within Virtual Reality GREDEG
The Acceptance of Artificially Intelligent Technologies in the Medical Field GREDEG
Teaching digital literature and its impact on writing practices LINE