Annual PhD Funding Campaign

In 2022, DS4H Graduate school is awarding 6 research grants targeting 3 thematic priorities:
  •     Digital and Social Sciences
  •     Digital and the Environment
  •     Artificial Intelligence, in partnership with the 3IA Côte d’Azur
Laureates will be announced soon.
Why should you apply?
How to apply?
As a PhD student

Application deadline: May, 9th

To apply:

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

Some subjects do not have a "Candidater" button, in particular the HUMAN AND SOCIAL SCIENCES FOR DIGITAL SYSTEMS subjects don't. In such a case, apply by sending an e-mail to the PhD supervisor and see with him or her which documents are useful.

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

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, 2nd

  • Theses in the field of ED STIC: please refer to the e-mail from Claire Migliaccio, dated March 9th.
  • Theses in the field of ED DESPEG or other field: please refer to the e-mail from Gilles Bernot, dated March 16th.

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

Selection Process
What if the PhD of your dream is not on this list?

Maybe the subject of your dreams is not on this list?
If you wish to work on another topic, 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

Congratulations to our PhD Projects Grant Laureates.
Find out more...


Discover below the 2022 doctoral projects.

DS4H Graduate school 2022 PhD Funding Campaign is closed.

You can still contact your doctoral school or potential supervisor directly to identify other thesis subjects and fundings.

Thesis Topic Laboratory
3D Super-resolution fluorescent microscopy by biplane SPIM microscopy: a study on ostreopsis proliferation I3S (UMR 7271)
Geometrical and statistical analysis of biological fluorescent multispectral images for phenotyping extracellular matrix in tumor tissue I3S (UMR 7271)
Deep Learning for Medical Prognosis with Radiomics I3S (UMR 7271)
Measuring and Modelling 5G Carbon (Energy) Footprint I3S (UMR 7271)
Learning to Model and Control Nonlinear Dynamical Systems from Images Exploring Koopman Operators I3S (UMR 7271)
Robust long-term data storage in synthetic DNA I3S (UMR 7271)
Context-aware navigation Inria - ACENTAURI
Lidar-vision fusion for robust robot localization and mapping Inria - ACENTAURI
Modeling and control of a heterogeneous and autonomous multi-robot system: Application to the detection and monitoring of forest diseases Inria - ACENTAURI
Machine Learning based Dynamic Brain Connectomics Inria - ATHENA
Brain networks from simultaneous modelling of functional MRI and diffusion MRI Inria - ATHENA
Optimal resource allocation in mathematical models of micro-organisms under dynamic environmental conditions Inria - BIOCORE
AI based Active Surveillance of Prostate Cancer from Multiparametric MRI Inria - EPIONE
Inverse problems in paleomagnetism magnetic moment estimation Inria - FACTAS
Analysis and characterization of lung cancers stroma from histological images Inria - MORPHEME
Image-based perspective of morphogenesis: from individual to population Inria - MORPHEME
Early prediction of cell differentiation Inria - MORPHEME
Mass cytometry analysis for cancer Inria - MORPHEME
Dynamic community detection in node-attributed networks I3S (UMR 7271)
Extracting event traces for biological networks: application to the circadian cycle of cyanobacteria I3S (UMR 7271)
Efficient source code generation for controlling critical synchronous systems I3S (UMR 7271)
Program recognition with artificial intelligence I3S (UMR 7271)
Joint Training Design and Network Resource Allocation for Distributed Machine Learning I3S (UMR 7271)
Sparse directed graphs I3S (UMR 7271)
Transfinite models of Cellular Automata I3S (UMR 7271)
Utility-Based Information Retrieval I3S (UMR 7271)
Formal Temporal Safety Rules for Autonomous Vehicles I3S (UMR 7271)
Exploiting Dynamic Security Testing for Improving DevSecOps Workflows I3S (UMR 7271)
Modeling and Assessing Blockchain Infrastructure Security through Network Level Analysis and Anomaly Detection I3S (UMR 7271)
Real-time neuromorphic semantic scene segmentation I3S (UMR 7271)
Contribution to extended reality (augmented, virtual and mixed) for visual exploration of spatio-temporal data I3S (UMR 7271)
Effective algorithms for the statistical physics of biomolecules Inria - ABS
Designing moveset for whole proteins Inria - ABS
Social interactions in low vision: A collaborative approach based on immersive technologies Inria - BIOVISION
Algorithmic aspects and random network models for temporal brain networks Inria - COATI
Exploring the motivation and privacy consequences of inter-blockchain transactions Inria - DIANA
Leveraging the wealth of available data for network monitoring and troubleshooting Inria - DIANA
Understanding and fixing recommendation algorithms to reduce polarization in social computing systems Inria - DIANA
Optimistic Gradual Typing for TypeScript Inria - INDES
Complexity Analysis of Higher-Order Randomized and Cryptographic Definitions Inria - INDES
Learning RDF pattern extractors for a language from dual bases Wikipedia/LOD Inria - WIMMICS
Virtual characterization of realistic scenarios involving 5G and 6G communication networks LEAT (UMR 7248)
Radar classification of buried objects by combining feature extraction methods and artificial intelligence LEAT (UMR 7248)
Design of cognitive sensors networks for energy efficient applications LEAT (UMR 7248)
The a priori of data flow - A legal and multidisciplinary research CNRS GREDEG (UMR 7321)
Ecological impact of Artificial Intelligence and deep technologies: a legal perspective CNRS GREDEG (UMR 7321)
How to detect emotions and forecast behaviour in humans CNRS GREDEG (UMR 7321) and Inria
Three Essays on Firm dynamics, Market Distortions and Artificial Intelligence: Firm Level Evidence from France CNRS GREDEG (UMR 7321)
The hidden face of streaming: self-production for which audience? CNRS GREDEG (UMR 7321)
Digitalization and international development of SMEs IAE Nice GRM (UPR 4711)
The Hospital in the Age of Big Data and Talent Management Practices IAE Nice GRM (UPR 4711)
Exposome and de novo congenital diseases: environmental impact on transverse limb agenesis cases & AI contribution ESPACE (UMR 7300)
How Industry 4.0 technologies are helping the Tourism Industry to adapt to climate change? CNRS GREDEG (UMR 7321)