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 Stochastic modelling of dynamical resource allocation and analysis of single-cell data
The Centre Inria de l’Université de Grenoble groups together almost 600 people in 22 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 (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.
The Centre Inria de l’Université Grenoble Alpe 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 : 2025-09-30
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Development and validation of small-scale models of metabolite production in bacteria
The PhD project will be carried out in the project-team MICROCOSME at the Centre Inria de l’Université de Grenoble Alpes and the Laboratoire Interdisciplinaire de Physique (LIPhy, CNRS/UGA) under the joint supervision of Hidde de Jong (https://team.inria.fr/microcosme/hidde-de-jong/) and Noël Scaramozzino (https://liphy.univ-grenoble-alpes.fr/fr/recherche/equipes/biop-fluctuations-regulations-et-evolution-systemes-vivants) within the framework of the project MuSiHC supported by the PEPR B-BEST (https://anr.fr/en/france-2030/call-for-proposals-details/call/pepr-b-best-biomasses-biotechnologies-et-technologies-durables-pour-la-chimie-et-les-carburants-1/). MICROCOSME and LIPhy provide an interdisciplinary research environment fostering close collaborative interactions between applied mathematicians, microbiologists, computer scientists, control engineers, and biophysicists.
Deadline : 2025-09-30
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(03) 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 42 research teams and 9 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 : 2025-09-13
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Shape Visual Servoing of Deformable Objects Robust to Model Uncertainties
A significant challenge in robotics lies in interacting with deformable objects. Most existing robotic control approaches assume that objects in the scene are rigid, rendering them ineffective in handling deformations. On the other hand, many applications of interest (e.g., in the medical domain or food industry) require the capability of manipulating deformable objects. In order to address these challenges, the Rainbow team has proposed over the recent years several novel visual servoing methods that enable robots to autonomously and dexterously manipulate soft objects using real-time visual feedback from an RGB-D depth camera. From an applied perspective, the robotic task involves autonomously and accurately deforming soft objects into desired shapes in an efficient, closed-loop manner using robotic arms.
Deadline : 2025-09-01
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Moving-target defense driven by artificial intelligence for cloud composite services
The offered position is proposed by the RESIST team of the Inria Nancy Grand Est research lab, the French national public institute dedicated to research in digital Science and technology. The team is one of the European research group in network management, and is particularly focused on empowering scalability and security of networked systems through a strong coupling between monitoring, analytics and network orchestration.
https://team.inria.fr/resist/
This PhD thesis will take place in the context of the TrustInCloudS project. This project is part of the CLOUD PEPR founded by the ANR, and targets the design of new solutions for the major cybersecurity challenges specific to cloud environments, in order to ensure the confidentiality, integrity and availability of data, applications and services. In particular, its main objective is to study and develop new methodologies to strengthen cloud security and implement them over prototyping platforms, in order to contribute to the development a sovereign and trusted cloud. The project is organized in such a way as to work on the one hand on the security of the infrastructures, and on the other hand on the security of the data (in the broad sense) that these infrastructures host. It will carry out scientific actions on these two main themes, with the objective of proposing new methods and tools for securing cloud infrastructures and their data. This theoretical work will lead, when relevant, to prototype implementations to prove the concept, including potential deployment over the shared infrastructures developed in the SLIDES project of the CLOUD PEPR.
Deadline : 2025-08-31
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Stochastic modeling of single-cell plasmid copy number fluctuations
The project is part of the ERC Starting Grant of Jakob Ruess (Lifeware team at Inria Saclay). Inria is the French national institute for research in computer science, control, and applied mathematics promoting scientific excellence and technology transfer. Within this project, we primarily work on the development of mathematical modeling approaches and statistical inference/estimation methods but we also collaborate with biologists to apply our methods to real data. Our main long-term goal is to develop a comprehensive methodological framework supporting the development of a quantitative understanding of biochemical processes inside single cells that are coupled to the dynamics of growing cell populations. Our research topics are at the intersection of mathematical biology, statistics, control engineering, and statistical physics applied to problems in biology.
This job announcement is for a PhD position on the project but we are generally looking for young scientists at all career stages (internship, PhD, postdoc) to join the team at any time in 2025.
Deadline : 2025-08-31
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Geometric statistics on stratified quotient spaces: topologically constrained multi-atlases for brain diffeomorphometry
The PhD project will take place at Inria Center of Université Côte d’Azur in the Epione team under the supervision of Xavier Pennec, in close collaboration with Mathieu Carrière in the Datashape team. This PhD is funded for 3 years as part of the project Meditwin where many teams from Inria, 3DS (Dassault Systemes), 7 IHUs (University Research Hospitals) and other partners contribute to build personalized virtual twins of organs, metabolism and cancer, for better diagnosis and treatment
Deadline : 2025-08-31
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Méthodes de fusion multi-modale et multi-échelle basées sur l’apprentissage profond génératif
Le projet MediTwin est un projet d’envergure visant à développer des jumeaux numériques du corps humain pour aider à la prévention, au diagnostic et au traitement de différentes pathologies. Au sein de ce projet, plusieurs thématiques en modélisation et en analyse d’images médicales sont abordées, dont le sujet de la génération de données synthétiques.
Ce projet de thèse est sur le développement de méthodes d’apprentissage profond génératives afin d’augmenter les données disponibles sur un patient. L’idée est de pouvoir profiter de bases de données disponibles de haute qualité et de haute résolution, ou de multiples modalités pour améliorer et compléter les images disponibles en routine cliniques.
Ceci sera développé plus particulièrement pour l’imagerie cardiaque et dans le cadre de la stratification du risque d’arythmie, qui est une application de MediTwin. En effet, une connaissance détaillée du tissu cardiaque et notamment de l’infarctus responsable de troubles du rythme est un élément important dans une telle prédiction.
Deadline : 2025-08-31
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Modeling the dynamic behavior of implants used in total hip arthroplasty
The Inria centre at Université Côte d’Azur includes 42 research teams and 9 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 : 2025-08-31
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M What Do GNNs Dream of ? An Interpretability Method Based on Pattern Extraction
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 : 2025-08-31
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(11) 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 : 2025-08-31
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Authoring interactive public science lectures
The project is a collaboration between Theophanis Tsandilas, a researcher at Inria Saclay, and Julien Bobroff, a physics professor at the Université Paris-Saclay and a renowned science popularizer.
The scientific contributions of the PhD thesis will be centered on HCI (Human-Computer Interaction) research, aligning with expertise of Theophanis Tsandilas. The PhD student will be hosted by ex)situ an Inria team at the Laboratoire Interdisciplinaire des Sciences du Numérique at the Université Paris-Saclay, with extensive experience in multidisciplinary collaborations.
Julien Bobroff and his team, La Physique Autrement, will guide the entire design process through their expertise in science communication. This team is unique in that it combines innovation, public testing and research in communication sciences and pedagogy. Over the past decade, the team has designed over 300 original popularization projects in a wide range of formats. Julien himself has an audience of nearly a million subscribers on various social networks: TikTok, Instagram, YouTube, etc.
The PhD thesis is fully funded by the Université Paris-Saclay (SPRINGCS 2025 program). The funding also covers expenses for equipment and conference participation during the course of the thesis.
Deadline : 2025-08-30
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Reduced-order modelling of internal tide for altimetry data assimilation
The thesis will be directed by Etienne Mémin and supervised by Noé Lahaye and Gilles Tissot, at Inria in Rennes.
The “Odyssey” inter-institute team involves members of Ifremer, Laboratoire d’Océanographie Physique et Spatiale (UMR 6523), IMT Atlantique in Brest and the Inria centre at the University of Rennes. It will provide an extremely rich working environment and collaborations for the candidate. The main aim of this team is to develop innovative, cross-disciplinary research areas (satellite observation / physical modelling / applied mathematics / numerical methods) based on the analysis of observation data and numerical modelling, in order to improve our understanding and knowledge of ocean dynamics.
The candidate will also benefit from the intense research activity around the
stochastic modelling of surface dynamics (ERC STUOD).
Deadline : 2025-08-05
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Reliability Enhancement of Post-Von Neumann Hardware Accelerators
Artificial Intelligence (AI) is increasingly indispensable across various society sectors due to its potential to transform conventional applications, from smart homes to safety-critical systems like autonomous driving and space exploration. Deep neural networks (DNNs) are state-of-the-art AI methods that outperform other approaches in language processing, image and video classification, audio and radar processing, and instance segmentation [1–3]. Notably, DNNs such as OpenAI GPT-4, Meta LLaMA2, and Mistral Mixture of Experts have captivated public interest with their high accuracy.
Due to their resource-intensive nature, DNNs require powerful dedicated hardware accelerators, such as GPUs and TPUs. However, large hardware accelerators are unsuitable for embedded safety-critical systems due to their high energy consumption. New unconventional accelerator architectures like the ones based on PIM [4] and neuromorphic computing [5] have been proposed for complex DNN deployment in critical applications where power and performance are critical requirements, offering energy-efficient alternatives to traditional GPUs and TPUs. However, their reliability, particularly against radiation-induced faults, remains to be fully assessed.
In this Ph.D., we will identify hardware and software vulnerabilities in PIM accelerators for DNNs and propose fault mitigation techniques.
Deadline :2025-07-31
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M New tools for quantum symmetric cryptanalysis
The development of quantum computing devices impacts severely the security guarantees of asymmetric cryptography, leading to an ongoing transition to post-quantum, i.e., quantum-secure, cryptosystems. Fortunately, mainstream symmetric primitives are considered robust against hypothetical quantum adversaries. However, our confidence in the security of symmetric cryptosystems is upheld by a rigorous cryptanalysis effort. This effort needs to continue in the context of post-quantum
security.
This PhD position takes place within the QATS project, which studies the cryptanalysis of symmetric primitives (block ciphers, hash functions…) using quantum algorithms. QATS is both focused on the systematization of new attack techniques, and the development of automatic tools that allow to find attacks.
Deadline : 2025-07-31
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Accelerating Hardware Coherence Using Programmer Input in Multi/Manycore Systems
The Centre Inria de l’Université de Grenoble groups together almost 600 people in 24 research teams and 9 research support departments.
Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.
The Centre Inria de l’Université Grenoble Alpes 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 :2025-07-31
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Circuits supraconducteurs non réciproques pour l’information quantique
Dans le cadre du PEPR robustSuperQ visant à la fabrication de circuits supraconducteurs pour le stockage robuste de l’information quantique, l’objectif est de d’implémenter des circuits incluant un ou plusieurs éléments non réciproques pour former un qubit protégé.
Deadline :2025-07-20
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H Évaluation des techniques de surveillance
Le centre Inria de l’université de Bordeaux est un des neuf centres d’Inria en France et compte une vingtaine 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 :2025-07-16
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Generating expressive motions for humanoid robots
The candidate will join the Human Centered Robotics team (HUCEBOT) in the Inria Center of the University of Lorraine in Nancy, France.
The team HUCEBOT develops control, learning, and interaction skills of human-centered robots, such as humanoid, mobile manipulators and exoskeletons. The team develops learning and control algorithms for teleoperated / supervised / autonomous robots, involved in complex manipulation tasks in man-made environments. It also develops prediction and control techniques for wearable exoskeletons designed to assist humans at work. The team has excellent robotics facilities, including several humanoid robots (Talos, iCub, G1), manipulators, drones, passive and active exoskeletons, wearable sensors, force plates etc. Its laboratory has a 3D printing facility and a mechatronic workshop for prototyping and maintenance.
The team consists of many research scientists, postdocs, PhD and has the support of 1 software and 1 mechatronics engineer. The team is international – English and French speaking. French is not required, although free French classes are available in the institute for non-French speakers.
Deadline : 2025-07-16
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Handling dynamic constraints and deadlines in distributed software reconfiguration – Application to power transmission
The Centre Inria de l’Université de Grenoble groups together almost 600 people in 24 research teams and 9 research support departments.
Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.
The Centre Inria de l’Université Grenoble Alpes 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 : 2025-07-16
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Modelization of HPC Jobs and Resources to Minimize Energy Waste
The Centre Inria de l’Université de Grenoble groups together almost 600 people in 24 research teams and 9 research support departments.
Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (Université Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.
The Centre Inria de l’Université Grenoble Alpes 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 : 2025-07-16
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Compilation of a DSL based on vectorial circuit to SIMD optimized code
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 : 2025-07-16
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Sensors-based Control of an Aerial Manipulator for Complex Manipulation of Articulated Objects
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 : 2025-07-15
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Coordinating multiple autonomic feedback loop managers in the Cloud/Edge computing
Orchestration is a process that consists of managing dynamically and automatically computing resources in the Cloud/Edge, applications and services in order to satisfy final users.
Autonomic management and orchestration of distributed systems use feedback control loops [IBM03] that react to perceived variations (events or values in the system and its environment) by deciding upon reconfigurations (hardware and/or software). These reconfigurations are then implemented through basic actions in the system’s API.
Feedback loops can manage a variety of objectives, of different natures (e.g., self-optimization, self-configuration, self-protection, etc.). They deal with different dimensions: quantitative, temporal, logical, etc. and rely upon diverse decision techniques (control theory, scheduling, constraints resolution, learning, etc.). The general challenge is the design of autonomic managers that can handle this complexity.
This research topic considers the necessity to coordinate multiple autonomic loops, interdependent or in parallel, to face the co-existence of multiple problems in real-world complex architectures.
Deadline : 2025-07-11
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H thèse sur la conception et l’analyse de dynamiques de graphes
concevoir des dynamiques probabilistes permettant d’échantillonner des graphes aléatoires avec des propriétés cibles. On s’attachera particulièrement à identifier des dynamiques qui atteignent rapidement des graphes aux propriétés souhaitées, et l’analyse de ce temps d’atteinte (temps de mélange) sera un des enjeux de cette thèse.
Le candidat sera localisé au Centre Inria de Paris, dans l’équipe ARGO, commune avec DI ENS, PSL, sous la direction jointe d’Ana Busic et Laurent Massoulié. Il sera inscrit en thèse en informatique à l’École doctorale 386 Sciences Mathématiques de Paris Centre, via le Département Informatique de l’ENS
Deadline : 2025-07-11
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Privacy-Enabled AI Job Execution on Heterogeneous Consumer Hardware Architectures
Taking security into account in distributed AI work is essential to respect user privacy, be it for inference or model training [3]. This is particularly the case when using consumer computers for computing tasks, a technique known as Desktop Grid Computing [1]. This otherwise idle hardware enables low-cost execution of computing tasks. However, in the AI case, it brings privacy issues as personal training or inference data is co-located with other users’ processes. One way to overcome this challenge is to employ the hardware security capabilities provided by modern processors, coprocessors, and chipsets [6,2]. The security features present in modern consumer computers include, for example, the Trusted Platform Module (TPM) chipsets integrated in most x86 motherboards, or Microsoft Pluton [5] in modern x86 processors. These modules provide numerous functions to help secure applications, such as key storage, encryption, and decryption. In addition recent processors have capabilities to securely run code in isolation, using for instance Intel SGX, SEV or TrustZone technologies [7]. TrustZone has been used successfully on AI projects in recent work [2, 4], as ARM platforms are becoming increasingly widespread in consumer computers and data centers. However, not all these security capabilities are identical, nor do they provide the same security guarantees depending on the family and model of processors and chipsets employed. Added to this is the complexity of using this type of architecture, which often requires specific programming models resulting in heavy adaptations of the executor code [4], or in other cases a very reduced performance [3].
Deadline : 2025-07-05
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Data selection techniques for LLMs reasoning improvement
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 : 2025-07-03
(28) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H apprentissage non supervisé sur des données structurées en graphes, et les gaps ‘computationnels-informationnels’ associés
Les travaux de cette thèse visent des résultats théoriques qui seront présentés dans des conférences et des journaux sur l’apprentissage (eg, ICML, NeurIPS), en statistiques et en probabilités.
Pour une meilleure connaissance du sujet de recherche proposé :
Les références et notes de cours disponibles sur la page https://www.di.ens.fr/laurent.massoulie/page_MDA_course.html sont pertinentes pour le contexte de cette thèse.
Deadline : 2025-07-02
(29 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 : 2025-06-30
(30) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Scalable Translation Validation for High-Performance Computing and Machine Learning
The PhD thesis will be held at Ecole Normale Supérieure (ENS-Lyon), in Lyon, France. ENS-Lyon is one of the top public universities in France and its ranked among the best universities in the world (QS world university ranking: 184).
The PhD student will be an employee of Inria, the French National Research Institute of Research in Computer Science which covers a wide spectrum of research in Computer Science.
This PhD thesis is within a collaboration framework between Inria Lyon and Iowa State University (USA).
Deadline : 2025-06-30
(31) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Machine Learning based Program Recognition
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 : 2025-06-30
(32) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Construction of a simulation-ready torso conductivity map library and data generation for the electrical impedance tomography (EIT) Bayesian inverse problem
This PhD project is a part of a new collaboration between Idefix Team (Inria Saclay) and Carmen Team (Inria
Bordeaux).
The project is financed by Inria program Action Exploratoire REALPRIOREIT. The co-PI of the project is Lisl Weynans of Equipe Carmen, Inria Bordeaux.
The PhD student will be based in the Idefix Team, Inria-Saclay, located at ENSTA Paris, Unité de Mathématiques Appliquées (UMA) 828, Boulevard des Maréchaux, 91762 Palaiseau, France.
There will be some travel between Saclay and Bordeaux. There will be regular meetings by video-conference with supervisers. Shared code development will be on GitHub.
Deadline :2025-06-30
(33) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Computational approaches for knowledge graph mining and completion dealing with uncertainty
This PhD thesis takes place within the MetaboLinkAI ANR-SNF project, which aspires to revolutionize the analysis and interpretation of metabolomics data through a multidisciplinary approach that combines a comprehensive knowledge graph hub (MetaKH) with cutting-edge artificial intelligence (AI) and machine learning (ML) techniques. The project’s main goals are to enhance the querying and ease of use of metabolomics data, improve research efficiency, and stimulate creativity in the field. These objectives are set to surpass current standards by creating an encyclopedic and expandable knowledge base, integrating advanced AI to handle the uncertainties of experimental data, and enabling a broader range of hypothesis testing and evaluation.
Within this project, we will focus on developing innovative methodologies and tools, such as graph mining methods, to enhance data interaction, analysis capabilities, and representation of uncertainty.
One distinctive peculiarity of metabolomics data (and thus MetaKH) is incompleteness, variable confidence and inherent uncertainty. Here, we adopt AI to enhance the completeness and reliability of the KG and to correctly account for uncertainty.
Deadline : 2025-06-30
(34) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M 3-year PhD position in Computational Models of Semantic Memory
The PhD position will be hosted within the MAGNET team at Inria Lille [1], in partnership with with the SCALAB group at University of Lille [2] in an effort to strenghten collaborations between these two research teams, and specifically to foster cross-fertilizations
between Natural Language Processing (NLP) and psycholinguistics. The MAGNET is actually evolving into a new interdisciplinary research group focusing on cognitively-grounded computational, neural-based models of language and reasoning.
Deadline : 2025-06-30
(35) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Optimizing Controllable Text Generation: A Comparative Study of Alignment Strategies and Inference-Time Scaling
Deadline : 2025-06-30
(36) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H phd : Synthèse de comportements robotiques coordonnés pour l’agroécologie Application au Pixel croping
Le développement de manipulateurs mobiles robotisés dotés de capacités d’adaptation aura un fort impact sur la robotisation des pratiques agroécologiques, notamment en améliorant l’autonomie et l’efficacité des flottes robotiques agricoles dans des environnements fortement hétérogènes.
En effet, l’essor de l’agriculture de précision et des techniques agroécologiques nécessite le développement de robots agricoles autonomes capables de coopérer pour effectuer des tâches complexes telles que la co-manipulation d’outils ou le transport coordonné des récoltes. Cette thèse s’inscrit dans ce cadre et vise à concevoir des algorithmes permettant à un ou plusieurs robots mobiles d’opérer en coordination dans un contexte de Pixel Farming.
L’objectif de cette thèse est ainsi de développer des algorithmes de planification de tâches agricoles et de contrôle commande nécessaires à leur réalisation, intégrant la perception multi-capteurs et l’adaptation dynamique des paramètres de navigation et de manipulation, en vue d’une réalisation coordonnée de tâches agricoles. A cette fin, des outils de l’Intelligence Artificielle seront employés pour le développement de nouvelles architectures décisionnelles, capables d’optimiser des comportements robotiques nécessaires à la réalisation des travaux agricoles ciblés.
Cette thèse est au cœur d’une collaboration déjà éprouvée entre l’INRIA, l’INRAE et le CEA-List. Cette collaboration se concrétise ici dans le cadre du PEPR Agroécologie et Numérique, qui porte un projet NINSAR ambitieux portant sur les nouveaux itinéraires en robotique agroécologique, et qui finance ce sujet. Elle bénéficiera en outre d’un cadre expérimental bénéficiant d’équipements rendus disponibles par l’equipex+ Tirrex et des infrastructures acquises au sein de l’AgroTechnoPôle.
Dans le cadre de cette thèse, des séjours pour expériemntation auront lieu sur le site expérimentale de INRAE Montoldre dans l’Allier et sur Clermont-Ferrand Puy-de-Dôme.
Deadline : 2025-06-30
(37) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Computational analysis of mRNA degradation
The Ph.D. project will be carried out in the project-team MICROCOSME at Inria – Univ Grenoble Alpes under the supervision of Delphine Ropers within the framework of the RECOM ANR project. MICROCOSME is an interdisciplinary team that includes applied mathematicians, engineers, computer scientists, computational biologists as well as experimentalists from the microbiology/biophysics team BIOP of the Université Grenoble Alpes.
Deadline :2025-06-30
(38) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Decentralised Market-based Application Orchestration in Fog and IoT Environments
In the context of the TARANIS project (PEPR Cloud), we are offering a PhD position to investigate flexible and decentralised application orchestration in fog environments.
The work will be carried out within the MAGELLAN team (Inria Centre at Rennes University, IRISA) at Rennes. Rennes is the capital city of Brittany, situated in the western part of France. Well-connected to Paris via a high-speed train line, Rennes is a lively city and a major center for higher education and research. The work will involve close collaboration with the STACK team (IMT Atlantique, Inria, LS2N) at Nantes.
Deadline : 2025-06-29
(39) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Digital Tools for accompaniment of people with disabilities for sport activities
Sport plays an important role in the well-being of individuals: it is known to improve the self-esteem and the autonomy of people with disabilities, as well as the social inclusion [1]. Practicing sport has also a positive impact on rehabilitation and motivation. The Paris 2024 Paralympic Games have called for a revolution for parasport. Beyond the event, we must now focus on strengthening and promoting the practice of sport by people with disabilities at all levels.
The proposed PhD aims then to offer technological tools to improve performances of users of power wheelchairs: analysis of sessions, training aid, rehabilitation tools through sport. To this aim, we propose to design solutions compatible with the virtual reality power wheelchair simulator developed at INSA Rennes as part of the European Interreg ADAPT project. Simulators have already been proven to be efficient in the context of rehabilitation [2] [3] and we want to extend the study of the possibilities offered by these platforms to sport situations. The targeted use case is the powerchair football. The team in Rennes expressed the need to help the players to better take benefit of this sport.
The PhD work will rely on specification work led by our biomedical engineer. For the validation step, the PhD student will cooperate with clinicians of Pole Saint Hélier.
Concretly, the work will focus on two use cases. The first one is to provide an augmented reality feedback tool that considers the disabilities of each player to be able to replay game sequences for the analysis and improvement of individual performances. The PhD student will have to tackle the issue of tracking several of them, detecting players, ball and equipment. The first one is about beginners. As a specific powered wheelchair is used, it is tiring, discouraging in the worst case, to play efficiently when beginning. This will be addressed by a virtual reality scenario using a simulator. The PhD student will extend previous work [4] on everyday motorized wheelchairs to the Strike force model whose behavior is different.
Deadline :2025-06-29
(40) PhD Degree – Fully Funded
PhD position summary/title: Doctorant F/H calculs graphiques pour l’informatique quantique
L’objectif de cette prolongation de contrat doctoral est de collaborer:
1. avec Alexandre Clément. Extension de précédents travaux pour développer
un language graphique pour des circuits optiques en dimension infinie.
2. avec Renaud Vilmart. Le ZW-calculus permet d’exprimer certains problèmes
combinatoires difficiles plus simplement. L’objectif est de traduire
certains diagrammes ZW en circuits optiques, afin d’avoir des circuits
quantiques optiques résolvant ces problèmes combinatoires difficiles
Deadline :2025-06-27
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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