[🟢 OPEN CALL] COFUND DeMythif.AI - Call for international applications to PhD program
[🟢 OPEN CALL] COFUND DeMythif.AI - Call for international applications to PhD program
- Timetable for 2024-2025
- More details
- Details on how to apply on ADUM?
Paris-Saclay University COFUND DeMythif.AI call
for international applications to PhD program
Paris-Saclay University has launched a call for applications for 21 grants on 48 possible PhD topics on the broad theme of “AI and uncertainty”. This call will close on January 17th 2025, at 23:59 CET.
21 successful candidates will be fully funded for 3-years PhD, starting fall 2025. For each selected candidate, the european Marie Sklodowska Curie Action DeMythif.AI funds a doctoral scholarship of excellence, with a salary aligned on the French Ministry of Research grant, funding for entrance mobility and mobility during PhD. DeMythif.AI students will benefit from dedicated events, specific doctoral training courses and have the opportunity to spend up to three months in an external company or laboratory through the complementary activities support.
The DeMythif.AI theme of "AI and uncertainty" is broad: controlling uncertainties, managing explicability, and encouraging frugality, across a wide spectrum of applications in fundamental or applied sciences and engineering. These PhD topics are hosted in top-level laboratories from Université Paris-Saclay and supervised by leading researchers to train the next generation of AI scientists to address thrilling questions in various scientific domains. Some PhD are co-funded by companies.
DeMythif.AI is supported by CNRS, CEA, INRIA, INRAE and Onera, as well as IFPEN, LNE and ILLS, GIS LARTISSTE, IRT SystemX, EDF, GE Healthcare, IBM, RTE, Safran, Sanofi, SLB, startups Quantmetry, Cairnbio, LightOn and Phimeca.
👉For all questions relating to international hosting (visas, accommodation, etc.), please consult the Paris-Saclay University International Hosting Center page.
👉 Questions about the DeMythif.AI program in general and the selection process should be sent to demythifai-contact@inria.fr.
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October 25, 2024 l Deadline for submission of thesis topics on ADUM (presentation of scientific background, topic, host team, possible co-funding)
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❗November 2024 - January 17, 2025 l Publication of subject, submission of student applications❗
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January 17, 2025 - May 2025 l Selection of the best student-topic pairs
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October 2025 l Start of second academic year DeMythif.AI
Subjects are listed on this page: topics are ordered per Doctoral School then per host Laboratory. Clicking on the title brings a page with details on the PhD. In some case an additional pdf with scientific details might be provided.
Laboratory : Formal Methods Laboratory (LMF) - Université Paris-Saclay, CentraleSupélec, CNRS
- AUTOPSY : Automating Cognitive Behavioral Therapy Modules
- FORMAPSY : Formalizing Psychological Theories
Laboratory : Centre Inria de Saclay - Île-de-France
Laboratory : Données Algorithmes pour une Ville Intelligente et Durable (DAVID) - UVSQ
- Generative AI, meta-learning, and object detection for identification and analysis of driving situations in urban environments: toward enhanced safety for autonomous vehicles
- Hypergraph Deep Neural Networks based on Game Theory
Laboratory : Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) - Université Paris-Saclay
Laboratory : Laboratoire des Signaux et Systèmes (L2S) - CentraleSupélec, CNRS, Université Paris-Saclay
- Reduced-complexity reservoir computing via time-delay approaches
- Accelerated Diffusion Processes for Uncertainty Quantification in Image Reconstruction based on a Low Rank Model
- Climate Projections Using Explainable Machine Learning Approaches
Laboratory : Traitement de l'Information et Systèmes (TIS) - ONERA
- Bio-inspired neural models for artificial intelligence and computer vision
- LOX-Methane Atomization Model from Morphological Description
Laboratory : Laboratoire des systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE) - ENS Paris-Saclay
Laboratory : Informatique, BioInformatique, Systèmes Complexes (IBISC) - UEVE
Laboratory : Centre de Vision Numérique (CVN) - CentraleSupélec, Inria, CNRS
Laboratory : Institut de Chimie Physique (ICP) - Université Paris-Saclay, CNRS
Laboratory : Nanosciences et Innovation pour les Matériaux, la Biomédecine et l’Énergie (NIMBE) - CEA, CNRS, Université Paris-Saclay
Laboratory : Energétique Moléculaire et Macroscopique, Combustion (EM2C) - CentraleSupélec, CNRS
- Machine learning assisted design of porous media for process engineering
- Physics-informed reduced-order modeling for digital twins of sustainable combustion systems
Laboratory : Laboratoire de Mécanique Paris-Saclay (LMPS) - ENS Paris-Saclay
- Super-resolved generative and space-time adaptive neural operator for 3D extreme-scale wave propagation problems
- Robust multiphysics topological optimization: application to electrical machines
- A data driven mechanical characterization of bone aging based on infrared spectroscopy
- Toward interpretable real-time quantification of uncertainties in the control of cardiac disease in any given specific patient with thermodynamically consistent Kolmogorov-Arnold networks using the concept of modified Constitutive Relation Error (mCRE) within the framework of isogeometric analysis
Laboratory : Laboratoire de Mécanique et d'Energétique d'Evry (LMEE) - UEVE
Laboratory : Industrial Engineering (LGI) - CentraleSupélec
Laboratory : Centre Borelli - ENS Paris-Saclay
Laboratory : Mathématiques et Informatique Appliquées du Génome à l'Environnement (MaIAGE) - INRAE
Laboratory : Département de Physique des Particules (DPhP) - CEA Irfu
- Machine learning for visual inspection and final state reconstruction in the ATLAS experiment
- Development of an AI-based framework in Neutrino Physics: a focus on time series event reconstruction and multivariate science analyses
- Artificial Intelligence to simulate Big Data and Search for the Higgs Boson Decay to a pair of Muons with the ATLAS Experiment at the large Hadron Collider
Laboratory : Département d'Électronique des Détecteurs et d'Informatique pour la Physique (DEDIP) - CEA
Laboratory : Laboratoire de Physique des deux Infinis Irène Joliot-Curie (IJCLab) - CNRS, Université Paris-Saclay, Université Paris-Cité
- Machine learning algorithms for the analysis of time-of-flight mass spectra with a gold nanoparticle probe: Classification, quantification and identification of complex compounds
- Transfer Learning Approaches Leveraging Nuclear Ab Initio Reaction Models
- Challenging neutrino events reconstruction in the DUNE liquid argon time projection chamber with advanced machine learning methods
Laboratory : Laboratoire de Physique des Solides (LPS) - CNRS, Université Paris-Saclay
Laboratory : Institut d'Astrophysique Spatiale (IAS) - CNRS, Université Paris-Saclay
Laboratory : Astrophysique Instrumentation Modélisation (AIM) - CEA Irfu, Université Paris-Cité
Laboratory : Institut des Sciences du Vivant (BAOBAB) - CEA
Laboratory : Laboratoire d’Imagerie Biomédicale Multimodale Paris-Saclay (BIOMAPS) - Université Paris-Saclay
Laboratory : Charles Fabry (LCF) - IOGS, CNRS, Université Paris-Saclay
Laboratory : Group of Electrical Engineering - Paris-Saclay (GeePS) - CentraleSupélec
- Development of a digital twin of electric actuator: approach based on physical informed machine learning model
- Intelligent Electrical Engineering: Developing Next-Gen Simulation Tools with PINNs and Machine Learning
- Physics-inspired artificial intelligence for diagnosing insulation failures in an automotive traction chain
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The call closes on January 17th, 2025 23:59 CET;
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Students of all nationalities should fulfill the MSCA criterion of not having spent more than 12 months in France since January 18th, 2022;
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Students should have a master degree in Computer Science or the application science relevant to the PhD topic; the exact rule depends on the Doctoral School where the PhD topic is listed;
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Students should have a C1 level or equivalent in English. No level in French is required;
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Students should not apply to more than 3 topics;
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A first pre-selection of 45 candidates will be done based on academic credentials and submission material, including 3 letters of reference;
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If they apply to several topics, they will be asked after pre-selection to order them by order of preference;
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The 45 pre-selected candidates will be interviewed remotely to present their topic and answer the jury's questions;
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The selection committee, gathering international and renowned specialists, will select the 15 best candidates, plus back-up list by May 2025.
All applications should be done through the ADUM platform. Please read carefully and follow the instructions:
- Note the PhD supervisor name, the Graduate School of the topic (french name), and the Doctoral School (french name);
- At the bottom of the page obtained when clicking on the title of a PhD, click on “Candidate”;
- This opens the “PhD application space”:
- Log in to your account
- or Create an account if not already done
- Établissement: please select Université Paris-Saclay GS [Name of the Graduate School in French], and then the Doctoral School (french name);
- Fill the diploma (possibly being prepared) allowing you to apply to a PhD;
- Fill other diploma;
- Fill other information;
- In particular, fill your level of english and in french;
- Then, you then you need to find again the PhD topic, easiest is to use the name of the supervisor. Please note that at this level, you are exposed to all PhD topics, be careful to select the one belonging to DeMythif.AI program;
- Fill in your motivation: please start with “This is an application to the DeMythif.AI program”;
- Fill in all additional information (internships etc...) relevant to your application;
- Open your application form (containing all the information you have provided, as well as the PhD topic) and then, sign it;
- Create a one-page PDF document with the sentence “I, [FIRST NAME, LAST NAME], hereby declare that I have not stayed in France for more than one year between January 18th, 2022 and January 17th, 2025” with your signature (this document is specifically required for this call) ;
- Build a PDF with all required information, up to 3 letters of reference (please ignore possible indications to have the letters sent elsewhere);
- Application deadline for the DeMythif.AI program is Friday, January 17, 2025 at 23:59 CET, even if mentioned otherwise in the specific PhD form.
Last but not least, please check this web page in the weeks leading to the closing of the call, as it might be enriched with answers to commonly asked questions.