Inria, France invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Inria, France.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Signal processing-based on the squared eigenfunctions of the Schrodinger operator. Application to EEG signals
Biomedical signals are usually characterized by the presence of peaks that provide direct or indirect information on the physiological and metabolic state. Usually, these pulse-shaped signals require preprocessing such as denoising and artifact removals. Further analysis and processing might be required in some specific situations to allow for the extraction of pertinent information from these signals. Despite the fact that the literature abounds with signal processing methods, there are still challenges that need to be overcome and further improvements can be achieved for processing pulse-shaped signals. In this context, a quantum-based signal processing method has been proposed in 1. This method called the semi‐classical signal analysis (SCSA) method decomposes the signal into a set of functions given by the squared eigenfunctions of the Schrödinger operator associated with its negative eigenvalues 1. Thus, and unlike traditional signal decomposition tools, the SCSA expresses the signal through a set of functions that are signal dependent, that is, these functions are not fixed and known in advance but are computed by solving the spectral problem of the Schrödinger operator whose potential is the signal to be analyzed. Accordingly, these eigenfunctions capture more details about the signal and its morphological variations 2. The SCSA has been successfully applied in many applications for signal representation, denoising, post‐processing, and feature extraction. For example, it has been used for arterial blood pressure waveform analysis in 3,4 and for magnetic resonance spectroscopy (MRS) denoising 5, for MRS water suppression 6, and for MRS lipid suppression 7. It has been also used for feature extraction in epileptic seizure detection 8 and for the characterization of PPG signals and blood pressure signals for non-invasive estimation of central pressure and arterial stiffness respectively 9. Recent work on the characterization of EEG signals for epileptic seizure detection and seizure onset zone location has shown promising results 10, 11.
Deadline : 2026-09-30
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Modeling and Simulation of Exascale Storage Systems
This thesis is placed in the context of NumPEx (https://numpex.fr/), a key national project whose goal is to co-design the software stack for the exascale era and prepare applications accordingly. This thesis will be co-supervised by Inria and CEA, respectively the Inria center at the University of Rennes and the CEA center at Bruyères-Le-Châtel, near Paris. Beyond the supervision, collaborations within NumPEx with the different partners of the consortium are to be expected.
Deadline : 2024-12-31
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Deep Neural Network-assisted computational design of highly efficient ultrafast dynamical metasurfaces
The present doctoral project is part of a collaborative project between the Atlantis project-team from the Inria Research Center at Université Côte d’Azur and the CNRS-CRHEA laboratory in Sophia Antipolis, France.
Atlantis is a joint project-team between Inria and the Jean-Alexandre Dieudonné Mathematics Laboratory at Université Côte d’Azur. The team gathers applied mathematicians and computational scientists who are collaboratively undertaking research activities aiming at the design, analysis, development and application of innovative numerical methods for systems of partial differential equations (PDEs) modelling nanoscale light-matter interaction problems. In this context, the team is developing the DIOGENeS [https://diogenes.inria.fr/] software suite, which implements several Discontinuous Galerkin (DG) type methods tailored to the systems of time- and frequency-domain Maxwell equations possibly coupled to differential equations modeling the behaviour of propagation media at optical frequencies. DIOGENeS is a unique numerical framework leveraging the capabilities of DG techniques for the simulation of multiscale problems relevant to nanophotonics and nanoplasmonics.
The Research Center for Heteroepitaxy and its Applications (CRHEA) is a CNRS research laboratory. The laboratory is structured around the growth of materials by epitaxy, which is at the heart of its activities. These materials are grouped today around the theme of high bandgap semiconductors: gallium nitrides (GaN, InN, AlN and alloys), zinc oxide (ZnO) and silicon carbide (SiC). Graphene, a zero bandgap material, epitaxially grown on SiC, completes this list. Different growth methods are used to synthesize these materials: molecular beam epitaxy (under ultrahigh vacuum) and various vapor phase epitaxies. Structural, optical and electrical analysis activities have been organized around this expertise in epitaxy. The regional technology platform (CRHEATEC) makes it possible to manufacture devices. In terms of applications, the laboratory covers both the field of electronics (High Electron Mobility Transistors, Schottky diodes, tunnel diodes, spintronics, etc.) and that of optoelectronics (light-emitting diodes, lasers, detectors, materials for nonlinear optics, microcavity structures for optical sources, etc.). The laboratory has also embarked on the “nano” path, including both fundamental aspects (nanoscience) and more applied aspects (nanotechnology for electronics or optics).
Deadline : 2024-12-31
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M PhD student on privacy-preserving federate learning with applications in oncology
The Inria University of Lille centre, created in 2008, employs 360 people including 305 scientists in 15 research teams. Recognised for its strong involvement in the socio-economic development of the Hauts-De-France region, the Inria University of Lille centre pursues a close relationship with large companies and SMEs. By promoting synergies between researchers and industrialists, Inria participates in the transfer of skills and expertise in digital technologies and provides access to the best European and international research for the benefit of innovation and companies, particularly in the region.For more than 10 years, the Inria University of Lille centre has been located at the heart of Lille’s university and scientific ecosystem, as well as at the heart of Frenchtech, with a technology showroom based on Avenue de Bretagne in Lille, on the EuraTechnologies site of economic excellence dedicated to information and communication technologies (ICT).
Deadline :2024-12-31
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M 15 PhDs on Tensor Modelling, Geometry and Optimisation
The Inria centre at Université Côte d’Azur includes 37 research teams and 8 support services. The centre’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d’Azur, CNRS, INRAE, INSERM …), but also with the regiona economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d’Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Deadline : 2024-12-31
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M PhD position F/M Building physics-based multilevel surrogate models from neural networks. Application to electromagnetic wave propagation
Inria is a national research institute dedicated to digital sciences that promotes scientific excellence and transfer. Inria employs 2,400 collaborators organised in research project teams, usually in collaboration with its academic partners.
This agility allows its scientists, from the best universities in the world, to meet the challenges of computer science and mathematics, either through multidisciplinarity or with industrial partners.
A precursor to the creation of Deep Tech companies, Inria has also supported the creation of more than 150 start-ups from its research teams. Inria effectively faces the challenges of the digital transformation of science, society and the economy.
Deadline : 2024-11-30
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M [campagne doc mi-nf-lys-2024] Low-rank Tensor Representations of Convolutional Neural Networks
The Inria research centre in Lyon is the 9th Inria research centre, formally created in January 2022. It brings together approximately 300 people in 16 research teams and research support services.
Its staff are distributed at this stage on 2 campuses: in Villeurbanne La Doua (Centre / INSA Lyon / UCBL) on the one hand, and Lyon Gerland (ENS de Lyon) on the other.
The Lyon centre is active in the fields of software, distributed and high-performance computing, embedded systems, quantum computing and privacy in the digital world, but also in digital health and computational biology.
Deadline : 2024-10-01
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Description automatisée de scènes audio explicable et frugale
Inria Défense&Sécurité (Inria D&S) a été créé en 2020 pour fédérer les actions d’Inria répondant aux besoins numériques des forces armées et forces de l’intérieur. La thèse sera réalisée au sein de l’équipe de recherche en traitement de l’audio de Inria D&S, sous la direction de Jean-François Bonastre et co-encadrée par Raphaël Duroselle.
La description automatisée de scènes audio consiste à présenter aux opérateurs un condensé des informations présentes dans la scène en question, sous la forme d’un texte augmenté. Ce condensé permet de faire ressortir de façon synthétique et visuelle les informations les plus importantes, tout en structurant efficacement l’accès aux informations précises. Pour illustrer ce point, un condensé pourrait prendre la forme suivante : « Dans cet enregistrement d’une durée de cinq minutes, trois locuteurs différents sont présents. Le locuteur A correspond à une identité connue dans la base de données et s’exprime en Français avec un fort accent du Monawa, les locuteurs B et C sont inconnus dans la base de données et s’expriment en Français dans leurs interactions avec A et dans une langue non identifiée lorsqu’ils parlent ensemble. Les voix de B et C présentent de fortes similitudes avec les locuteurs de la région du Quabar oriental. Le thème général de l’enregistrement concerne un transfert de marchandises entre les villes de Orienta et de Flagrance. La date du 8 Juillet 2023 est citée à trois reprises ». En cliquant sur A, l’opérateur disposera des informations sur A et sur les détails de l’identification vocale réalisée. L’accès aux segments temporels pendant lesquels A a parlé et à la transcription de ceux-ci sera direct. Dans cette transcription, les noms de personnes, de lieux ou les dates (les entités nommées) seront mises en évidence.
Deadline : 2024-09-01
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Détection et clustering de la langue parlée
Inria Défense&Sécurité (Inria D&S) a été créé en 2020 pour fédérer les actions d’Inria répondant aux besoins numériques des forces armées et forces de l’intérieur. La thèse sera réalisée au sein de l’équipe de recherche en traitement de l’audio de Inria D&S, sous la direction de Jean-François Bonastre et co-encadrée par Raphaël Duroselle.
La thèse s’inscrit dans un projet visant au profilage vocal explicable et frugal. Le profilage vocal consiste à extraire des informations d’un enregistrement audio comme l’identité, la langue parlée, l’âge, l’origine géographique et ethnique, ou encore des marques socio/patho/physiologiques dans la voix. L’objectif de ce projet est d’apporter une explicabilité aux systèmes de profilage vocal sans perte de performance. L’explicabilité permet de conserver les opérateurs au centre du processus, en leur donnant les moyens d’une décision instruite.
Deadline : 2024-09-01
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Explainable and frugal audio scene description
Inria Défense&Sécurité (Inria D&S) was created in 2020 to federate Inria’s actions for the benefit of military forces. The PhD will be carried out within the audio processing research team of Inria D&S, under the supervision of Jean-François Bonastre and co-supervised by Raphaël Duroselle.
The automatic audio scene description task is to present operators with a summary of the information present in the scene, in the form of augmented text. This text provides a visual summary of the most important information, while efficiently structuring access to specific information. Here is an illustrative example of a summary: « This five-minute recording features three different speakers. Speaker A corresponds to a known identity in the database and speaks French with a strong Monawa accent, speakers B and C are unknown in the database and speak English in their interactions with A and use an unidentified language when talking to each other. The voices of B and C show strong similarities with speakers from the Eastern Quabar region. The main theme of the recording concerns a transfer of goods between the cities of Orienta and Flagrance. The date July 8, 2023 is mentioned three times.». Clicking on A gives the operator information about A and details of the voice identification performed. There will be direct access to the time segments during which A spoke and to their transcription. The transcription will highlight names of people, places or dates (named entities).
Deadline : 2024-08-31
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD student F/M Bandit theory for personalized patient monitoring.
The Inria University of Lille center, created in 2008, employs 360 people, including 305 scientists spread across 15 research teams. Recognized for its strong involvement in the socio-economic development of the Hauts-De-France region, the Inria center at the University of Lille maintains a close relationship with large companies and SMEs. By promoting synergies between researchers and industrialists, Inria participates in the transfer of skills and expertise in the field of digital technologies and provides access to the best of European and international research for the benefit of innovation and businesses, particularly in the region. .
For more than 10 years, the Inria center at the University of Lille has been located at the heart of the university and scientific ecosystem of Lille, as well as at the heart of Frenchtech, with a technological showroom based on avenue de Bretagne in Lille, on the EuraTechnologies site of economic excellence dedicated to information and communication technologies (ICT).
Deadline : 2024-08-01
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Fast solvers for studying light absorption by nanostructured imagers
The Inria centre at Université Côte d’Azur includes 37 research teams and 8 support services. The centre’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d’Azur, CNRS, INRAE, INSERM …), but also with the regiona economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d’Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Deadline : 2024-06-30
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Privacy on-demand and Security preserving Federated Generative Networks or Models
Le centre Inria d’Université Côte d’Azur regroupe 37 équipes de recherche et 8 services d’appui. Le personnel du centre (500 personnes environ) est composé de scientifiques de différentes nationalités, d’ingénieurs, de techniciens et d’administratifs. Les équipes sont principalement implantées sur les campus universitaires de Sophia Antipolis et Nice ainsi que Montpellier, en lien étroit avec les laboratoires et les établissements de recherche et d’enseignement supérieur (Université Côte d’Azur, CNRS, INRAE, INSERM …), mais aussi avec les acteurs économiques du territoire.
Présent dans les domaines des neurosciences et biologie computationnelles, la science des données et la modélisation, le génie logiciel et la certification, ainsi que la robotique collaborative, le Centre Inria d’Université Côte d’Azur est un acteur majeur en termes d’excellence scientifique par les résultats obtenus et les collaborations tant au niveau européen qu’international.
Deadline : 2024-06-30
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M The role of rapport in human-conversational agent interaction: Modeling conversation to improve task performance in human-agent interaction
The objective of this project is to build embodied conversational agents (also known as ECAs, or virtual humans, or chatbots, or multimodal dialogue systems) that have the ability to engage their users in both social and task talk, where the social talk serves to improve task performance. In order to achieve this objective, we model human-human conversation, and integrate the models into ECAs, and then evaluate their performance.
Deadline : 2024-06-30
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Optimizing multi-domain E2E services orchestration
The Inria centre at Université Côte d’Azur includes 37 research teams and 8 support services. The centre’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d’Azur, CNRS, INRAE, INSERM …), but also with the regiona economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d’Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Deadline : 2024-06-30
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Spoken language detection and clustering
Inria Défense&Sécurité (Inria D&S) was created in 2020 to federate Inria’s actions for the benefit of military forces. The PhD will be carried out within the audio processing research team of Inria D&S, under the supervision of Jean-François Bonastre and co-supervised by Raphaël Duroselle.
The thesis is part of a project aimed at explainable and frugal voice profiling. Voice profiling consists in extracting information from an audio recording, such as identity, spoken language, age, geographical and ethnic origin, or socio/patho/physiological marks in the voice. The aim of this project is to make voice profiling systems explainable without degrading performance. Explainability maintains the central role of operators in the process, giving them the means to make informed decisions.
Deadline :2024-06-30
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Topology Design for Decentralized Federated Learning
The Inria centre at Université Côte d’Azur includes 37 research teams and 8 support services. The centre’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d’Azur, CNRS, INRAE, INSERM …), but also with the regiona economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d’Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Deadline : 2024-05-31
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Modeling of large communication networks
The position is funded by the national program on communication networks
(PEPR réseaux du Futur, https://www.entreprises.gouv.fr/fr/actualites/france-2030-lancement-du-programme-reseaux-du-futur-et-de-france-6g).
The research will be conducted at INRIA and Télécom Paris in LINCS, a joint laboratory on communication networks.
Deadline : 2024-05-31
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Latency-Driven resources placement in Fog-based IoT systems
The Inria Rennes – Bretagne Atlantique Centre is one of Inria’s eight centres and has more than thirty research teams. The Inria Center is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.
Deadline : 2024-05-31
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M High order boundary conforming adaptive meshing, and boundary conditions (AIRBUS/INRIA)
The proposed PhD program is a CIFRE program between Airbus and Inria. The student will be employed by Airbus and academically supervised by Inria researchers and Airbus engineers. They will spend half of their time at Inria (Bordeaux) and half at Airbus (Toulouse).
Safer and cheaper aircrafts require new concepts, and increasingly complex geometrical, physical, and numerical modeling. These new models must integrate multi-physical interactions between aerodynamics, propulsion, structures and materials. The systematic verification and validation of these models allows to integrate CFD in the certification process, reducing our reliance on costly experimental testing. It is with this goal in mind that AIRBUS, DLR, and ONERA have launched a new common CFD software project, called CODA.
Deadline : 2024-05-31
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Analyse automatique de la capacité humaine à collaborer lors de conversations dyadiques et de groupe, en vue d’applications éducatives.
L’objectif de cette thèse est d’étudier les approches qui hybrident les modèles neuronaux et symboliques. Ces méthodes seront dédiées à l’analyse du niveau de collaboration entre les participants dans les conversations (par exemple, l’analyse et la gestion des malentendus) à travers leurs expressions verbales. Nous nous concentrerons sur des applications éducatives telles que l’analyse de la dynamique de la classe et de l’engagement des étudiantes et étudiants, ainsi que sur des systèmes conversationnels destinés à aider les étudiantes et étudiants en difficulté, ou les aider à acquérir des compétences sociales, conformément aux lignes directrices éthiques définies en (1).
Deadline : 2024-05-31
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M IA-based automated detection and behavior analysis among piglets
The Inria Centre at Rennes University is one of Inria’s eight centres and has more than thirty research teams. The Inria Centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.
Deadline :2024-05-31
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Quantification en IRM des “slowly evolving lesions” médullaires chez les patients vivant avec une sclérose en plaques
Le centre Inria de l’Université de Rennes est l’un des neuf centres d’Inria et compte plus d’une trentaine d’équipes de recherche. Le centre Inria est un acteur majeur et reconnu dans le domaine des sciences numériques. Il est au cœur d’un riche écosystème de R&D et d’innovation : PME fortement innovantes, grands groupes industriels, pôles de compétitivité, acteurs de la recherche et de l’enseignement supérieur, laboratoires d’excellence, institut de recherche technologique.
Deadline : 2024-05-31
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Automated medical image segmentation
The Inria Grenoble research center groups together almost 600 people in 23 research teams and 7 research support departments.
Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (University Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.
Inria Grenoble is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.
Deadline : 2024-05-31
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Bayesian Inverse Problems for Wave Propagation towards Exascale
The Inria center at the University of Bordeaux is one of the nine Inria centers in France and has about twenty research teams.. The Inria centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute…
Deadline : 2024-05-29
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Developing a deep learning framework to design cyclic peptides
The main goal of this PhD project is to develope a deep learning framework for the design of cyclic peptides. This project has an important impact on designing theraputics to fight emerging diseases. Moreover, we will take advantage of the recent advances of deep learning methods, investigate several algorithms, and ultimately provide an open source application to the broad scientific community. This approach is a prerequisite for the design of new therapeutic peptides that target macromolecular complexes.
The PhD candidate will be hosted in the CAPSID team within LORIA at the Inria, Nancy – Grand Est site. The candidate will be supervised by Yasaman Karami (Inria researcher) with expertise in analyzing proteins conformational dynamics and peptide design [1] and Hamed Khakzad (CPJ Inria) expert in artificial intelligence and protein design [2]. CAPSID team (https://capsid.loria.fr/) is directed by Dr. Marie-Dominique Devignes and provides a multidisciplinary and international environment for students. The team benefits from experts in computational biology and structural bioinformatics, as well as in computer science. The group is equipped with a computational platform, MBI-DS4H (https://mbi-ds4h.loria.fr/) composed of 8 nodes and 12 GPUs, and provides technical support to the users.
Deadline : 2024-05-24
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Reliability and Security of Large Foundation Models
The Inria Rennes – Bretagne Atlantique Centre is one of Inria’s eight centres and has more than thirty research teams. The Inria Center is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.
Deadline : 2024-05-24
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Decision models for the Edge-Cloud Computing Continuum
Computing is shifting from the traditionally centralized cloud to a distributed set of heterogenous resources located between the edge, the cloud and in-between. As computing has moved to this Computing Continuum, the tradeoffs between performance, availability and cost have become increasingly complicated.
This thesis aims at contributing to the programming support and the resource management of emerging infrastructures and applications. The rationale that underlies the proposed research is the separation between the concerns of domain experts (familiar with the applications) and these of resource managers (familiar with the computing infrastructures).
Deadline : 2024-05-24
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Object vectorization from remote sensing data
The Inria centre at Université Côte d’Azur includes 37 research teams and 8 support services. The centre’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d’Azur, CNRS, INRAE, INSERM …), but also with the regiona economic players.
With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d’Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.
Deadline : 2024-05-19
(30) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Advancing Flood Modeling: Integrating High-Order Numerical Methods with Sub-Cell Limiting Techniques for Accurate Urban Flooding Prediction
The Inria center at the University of Bordeaux is one of the nine Inria centers in France and has about twenty research teams.. The Inria centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute…
Deadline : 2024-05-17
(31) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Neural Implicit Representation and operator learning for mutliscale problems in physics
The PhD will be hosted at the University of Strabourg in the city center and founded by the project PDE-IA of the PEPR IA. Since this is a co-supervision with UKAEA Cuham the student is expected to go to Culham campus (near Oxford) between 3 and 6 weeks by year.
Deadline : 2024-05-12
(32) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Faciliter le diagnostique acoustique d’une salle grâce au traitement du signal et à l’apprentissage automatique
Les nuisances sonores sont citées comme première source de gêne par les populations et constituent un enjeu sanitaire et social important, contribuant notamment au stress, aux déficits d’attention en classe, ou aux acouphènes. La gêne est souvent liée à la mauvaise qualité acoustique de la salle due à une réverbération trop importante (cantine, piscine, crèche…).
Dans le cadre de la réhabilitation acoustique des salles, la proposition d’une solution nécessite une bonne connaissance des caractéristiques géométriques et acoustiques de l’existant (dimension de la salle, absorption et diffusion de ses différents revêtements). Pour estimer ces paramètres inconnus, les acousticiens de terrain s’appuient sur des mesures du champ sonore combinées à des connaissances géométriques et acoustiques a priori du lieu et du dispositif utilisé (sources et microphones). L’estimation est typiquement effectuée par calage manuel et itératif des paramètres d’entrées de modèles acoustiques analytiques ou numériques sur les mesures. Le processus complet d’un diagnostic est donc long, coûteux et parfois imprécis selon les modèles utilisés. Face à ce constat, le développement de méthodes dites inverses permettant de remonter automatiquement aux paramètres acoustiques d’intérêt à partir de mesures audio seules constituerait une percée majeure pour l’acoustique des salles, ouvrant la voie au développement d’outils plus simples, plus rapides et plus fiables à destination des acousticiens.
Deadline : 2024-05-12
(33) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Descriptive complexity of topological invariants
This project will be carried out in the Inria team Mocqua, which focuses on emerging models of computation, in particular the interaction between discrete computations and continuous mathematics.
Deadline : 2024-05-12
(34) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Trustworthy AI hardware architectures
The Inria Rennes – Bretagne Atlantique Centre is one of Inria’s eight centres and has more than thirty research teams. The Inria Center is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.
Deadline :2024-05-11
(35) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Estimating/Modelling the statistical degradation laws of the secondary road network from video-based pavement monitoring
The ROAD-AI challenge is a collaborative project between INRIA and Cerema, started in 2021. The objective is to study some innovative solutions that may ease the management of transport infrastructures (roads, structures).
Within this context, the following PhD thesis is proposed to develop a specific solution for the maintenance of secondary road assets, i.e., low-traffic roads, from video-based surface monitoring data only, namely, pavement images.
[1] https://www.inria.fr/fr/road-ai-defi-infrastructures-routieres-durables-sures-resilientes
Deadline : 2024-05-07
(36) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Mathematical and physical modeling of the DNA transfection by means of pulsed electric fields (IDP 2024)
The Inria center at the University of Bordeaux is one of the nine Inria centers in France and has about twenty research teams.. The Inria centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute…
Deadline : 2024-05-03
(37) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Scheduling of task-based parallel applications on heterogeneous Cloud computing environments (IDP 2024)
The Inria center at the University of Bordeaux is one of the nine Inria centers in France and has about twenty research teams.. The Inria centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute…
Deadline : 2024-05-03
(38) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Study of the estimation and control principle for Markov decision processes (IDP 2024)
The Inria team Astral is a joint Inria-Naval Group project team, Naval Group being a French industrial group specializing in naval defense construction. With this thesis, we aim to carry out exploratory and preparatory theoretical studies that could have an impact on the work carried out with Naval Group, without however having any guarantee of direct applications in the short or medium term.
Deadline : 2024-05-03
(39) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Numerical modelling of cavitation bubbles interacting with biomaterials (IDP 2024)
In this context, CAGIRE wants to expand its work on multiphase compressible flows. Indeed, understanding and controlling complex and physically rich flows, such as unsteady multiphase compressible flows, are of great importance in various fields such as aeronautics, automotive, aerospace, nuclear energy or naval. Although these compressible flows have received little to no interest in medicine, they appear to be crucial in numerous biomedical applications involving cavitating flows [1], such as in lithotripsy (treatment for kidney stones) [2] or, more recently, histotripsy (non-invasive treatment for cancers) where cavitation bubbles, induced by shock waves, laser energy deposit or high-intensity focused ultrasound waves, violently collapse and interact with biomaterials. Despite the efforts established so far to partially respond to the problems linked to these multiphase compressible flows, major challenges still remain and new ones appear when biomedical aspects are explored, particularly when multiple physical phenomena are to be considered, such as phase change, viscoelasticity or more generally interactions with soft solids. A possible way of investigation is to use benefits of numerical simulations to analyse in detail these flows where experiments are challenged by spatial and temporal resolutions and unable to access key quantities. Hence, this work aims to tackle the particularly challenging modelling of the dynamics of cavitation bubbles in and near biomaterials where numerous scientific and technical obstacles remain to be overcome.
Deadline : 2024-05-03
(40) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Studying the emergence of open-ended evolution in cellular automata using curiosity-driven AI (IDP 2024)
Many systems that we encounter in Nature are self-organized and dynamic, and their study often reveals the emergence of highly-structured morphologies capable of complex behaviors evolved for survival in their environment. In the artificial world, cellular automata (CAs) are among the examples of widely-studied self-organizing systems. For instance, the artificial life (ALife) community has studied the emergence of spatially localized patterns (SLPs) in CAs, giving hints to the theories of the origins of life [1]. SLPs have a local extension and can exist independently of other patterns, resembling artificial “creatures” that can survive for an extended period of time and interact with their environment. In parallel, in the embodied AI community, we generally assume an agent with a given body (morphology) and a given set of possible actions (sensorimotor capabilities), and aim to study the mechanisms of learning to control the agent behaviors (i.e. the agent’s “brain”).
Deadline : 2024-05-03
About The National Institute for Research in Computer Science and Automation (Inria), France –Official Website
The National Institute for Research in Computer Science and Automation (Inria) is a French national research institution focusing on computer science and applied mathematics. It was created under the name Institut de recherche en informatique et en automatique (IRIA) in 1967 at Rocquencourt near Paris, part of Plan Calcul. Its first site was the historical premises of SHAPE (central command of NATO military forces), which is still used as Inria’s main headquarters. In 1980, IRIA became INRIA. Since 2011, it has been styled Inria.
Inria is a Public Scientific and Technical Research Establishment (EPST) under the double supervision of the French Ministry of National Education, Advanced Instruction and Research and the Ministry of Economy, Finance and Industry.
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