Annual PhD Funding Campaign

  • 5 "free" allocations within the DS4H perimeter
  • 3 allocations earmarked in the fields of 1. Social Sciences, 2. Environment and 3. Quantum technologies (in partnership with QuantAzur Institute for which transdisciplinary projects involving several laboratories will be particularly appreciated).
2025 Campaign Calendar
  • March 7th (23h59): Start of subject submission and start of applications
  • April 13th (23h59): Deadline for submission of thesis topics that will be widely circulated internationally and benefit from 10k€ additional allowance
  • May 5th (23h59): Deadline for submission of thesis topics and applications
  • May 7th (23h59): Final choice of student supported by each thesis director
  • Mid-May to early-June: Audition of the students and their potential thesis directors by the rapporteurs
  • Mid-June : Indicative ranking by the jury and final laureates decision by the DS4H Graduate school Steering Committee
Why should you apply as a PhD candidate?
How to apply?
 
As a PhD candidate

Application deadline: 2025 May, 5th (23h59)

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

How to submit a thesis subject?

From March 7th to May, 5th (23h59)

  • To submit a thesis subject, you must be a member of a laboratory associated with DS4H Graduate school and an HDR registered with ED STIC, ED DESPEG or ED SHAL.
  • An additional allowance of 10 K€ will be allocated by DS4H Graduate school to selected subjects submitted before April, 13th (23h59).
  • To submit your subject in the correct format, please refer to the e-mail from your laboratory or doctoral school Director.
 

How to submit a PhD candidate application?

Application deadline: 2025 May, 7th (23h59)

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
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 directly to identify open thesis subjects and fundings:


You can also 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

2025 PHD TOPICS


Discover below the 2025 doctoral projects. This list will be updated on a regular basis From March 7th to May, 5th.
Last update: 2025 April 14

 
THESIS SCIENTIFIC FIELD / Title Host Laboratory
COMPUTER SCIENCE
Abductive Reasoning for Requirement Violation Diagnosis in Cyber-Physical Systems i3S
Enhancing humanoid robot learning through large-scale VR-based real motion data i3S
Heterogeneous Multi-Agent Modeling Approach for Circadian Clock Synchronization i3S
Design and Evaluation of Collaborative Interactive Installations in the Web-Based Musical Metaverse i3S
Failure handling for robust concurrent systems i3S
Hybrid Reasoning in Cyber-Physical Systems: Bridging Design-Time Illusions and Runtime Reality i3S
Integration of Spiking Neural Networks into a Cognitive BDI Agent Architecture with Formal Verification i3S
Knowledge Graph-Based Provenance Modeling for the Evaluation of Interactive Visualization Tools i3S
Program Recognition with Graph Neural Network i3S
Solving Mixed-Integer Problems by combining Reinforcement Learning and Artificial Evolution i3S
Machine Learning Solutions for Quantum Internet i3S
A Hierarchical Time Model for Event-B i3S
The roles of inhibition and adaptation in retinal motion processing Inria BIOVISION
Impact of multidisciplinarity on research productivity Inria COATI
Detecting and analyzing market manipulation on Bitcoin Inria DIANA
How LLM interfere with cognitive processes? Inria DIANA
Neural surrogate model for geophysical flows Inria GRAPHDECO
Enhancing Large-Scale Distributed Caching Systems with Erasure Coding: Performance, Reliability, and Design Trade-offs Inria NEO
3D building reconstruction with interactive shape control Inria TITANE
CONTROL, OPTIMIZATION, PROSPECTIVE
Modelling Microbial Competition in a warming ocean Inria BIOCORE
AUTOMATIC SIGNAL AND IMAGE PROCESSING
Development and Certification of a Neural-network-based Controller for a Hybrid VTOL UAV i3S
State Estimation and Control of Convertible Aerial Vehicles i3S
Diffusion model for super-resolution fluorescent microscopy inverse problem i3S
Novel tensor decompositions for atrial fibrillation analysis i3S
Off-the-grid curve reconstruction in super-resolution fluorescent microscopy i3S
Multi-layer environment representation for autonomous robotics Inria ACENTAURI
Modulation of Dynamical Structure–Function Correlation Across States of Consciousness Inria CRONOS
Propagation of uncertainties: from EEG measurements to BCI classification Inria CRONOS
Mathematical analysis and control of biological oscillators, under local and global environmental inputs Inria MACBES
Study and control of mathematical models of microbial consortia Inria MACBES
Mathematical modeling of cell death signaling to understand the variability of tumor cell responses to drug treatment Inria MACBES
Toward resilient and programmable bioprocesses: Modeling and Control of symbiotic microbial consortia under environmental stress Inria MACBES
Distillation for deep learning based processing of microscopy images Inria MORPHEME
Deep Learning Methods for the Video Understanding of Psychiatric Interviews Inria STARS
ELECTRONICS
Design of physics-informed and explainable artificial intelligence methods to enable the understanding and embedded real-time processing of complex self-mixing optical interferometry signals LEAT
Design and optimization of new ESPAR-inspired antenna topologies suitable for integration in modern communication infrastructures LEAT
Development of UAV-borne radar for geophysical applications LEAT
New approach for the treatment of multi-scale aspect in numerical dosimetry at millimetric frequencies LEAT
HUMAN AND SOCIAL SCIENCES FOR DIGITAL SYSTEMS
AI and the labour market: theory and evidence GREDEG
AI-Driven Work Transformations in Creative and Cultural Industries GREDEG
Data-Driven Quality and Market Dynamics in Digital Economies GREDEG
International education in technology-enhanced learning: evaluation of transformative effects of community of practice activities for students and alumni LINE