Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Inria, France, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
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
(02) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M PhD student on privacy-preserving federate learning with applications in oncology
This PhD student position will be supported by the HE Trumpet project, the HE Flute project and/or the PEPR IA Redeem project. While this position will be in the MAGNET team in Lille, we will collaborate with the several European project partners.
While AI techniques are becoming ever more powerful, there is a growing concern about potential risks and abuses. As a result, there has been an increasing interest in research directions such as privacy-preserving machine learning, explainable machine learning, fairness and data protection legislation.
Privacy-preserving machine learning aims at learning (and publishing or applying) a model from data while the data is not revealed. Statistical privacy allows for bounding the amount of information revealed.
The MAGNET team is involved inthe related TRUMPET, FLUTE and REDEEM projects, and is looking for team members who can in close collaboration with other team members and national & international partners contribute to one or more of these projects. All of these projects aim at researching and prototyping algoirhtms for secure, privacy-preserving federated learning in settings with potentially malicious participants. The TRUMPET and FLUTE projects focus on applications in the field of oncology, while the REDEEM project has no a priori fixed application domain.
Deadline : 2024-12-31
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(03) Fully Funded PhD Position
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
Numerical simulations of electromagnetic wave propagation problems primarily rely on a space discretization of the system of Maxwell’s equations using methods such as finite differences or finite elements. For complex and realistic three-dimensional situations, such a process can be computationally prohibitive, especially when the end goal consists in many-query analyses (e.g., optimization design and uncertainty quantification). Therefore, developing cost-effective surrogate models is of great practical significance.
There exist different possible ways of building surrogate models for a given system of partial differential equations (PDEs) in a non-intrusive way (i.e., with minimal modifications to an existing discretization-based simulation methodology). In recent years, approaches based on neural networks (NNs) and Deep Learning (DL) have shown much promise, thanks to their capability of handling nonlinear or/and high dimensional problems. Model-based neural networks, as opposed to purely data-driven neural networks, are currently the subject of intense research for devising high-performance surrogate models of parametric PDEs.
The concept of Physics-Informed Neural Networks (PINNs) introduced in [1], and later revisited in [2], is one typical example. PINNs are neural networks trained to solve supervised learning tasks while respecting some given physical laws, described by a (possibly nonlinear) PDE system. PINNs can be seen as a continuous approximation of the solution to the PDE. They seamlessly integrate information from both data and PDEs by embedding the PDEs into the loss function of a neural network. Automatic differentiation is then used to actually differentiate the network and compute the loss function.
Following similar ideas, and relying on the widely known result that NNs are universal approximators of continuous functions, DeepONets [3] are deep neural networks (DNNs) whose goal is to learn continuous operators or complex systems from streams of scattered data. A DeepONet consists of a DNN for encoding the discrete input function space (branch net) and another DNN for encoding the domain of the output functions (trunk net). PINNs and DeepONet are merely two examples of many DNNs that have contributed to making the field of Scientific Machine Learning (SciML) so popular in recent years.
Deadline : 2024-11-30
(04) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Scalable Translation Validation for High-Performance Computing and Machine Learning
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 : 2024-11-30
(05) Fully Funded PhD Position
PhD position summary/title:– PhD student M/F Bandit theory for personalized patient monitoring.
The BIP-UP project funded by the ANR begins on January 1, 2023 and will last 4 years. BIP-UP is based on a collaboration that has existed for several years between the Inria Scool team, led by Philippe Preux and the INSERM 1190 unit located at the Lille University Hospital, led by François Pattou, both professors at the University of Lille. The
aim of this collaboration is to study the use of health data for personalized patient monitoring after surgery. The hope is that the health data collected by different stakeholders will make it possible to move from an identical monitoring protocol for all patients to a personalized protocol which, by being adapted to each patient, would be better followed by patients, with therefore a better benefit for their health.
Started in 2019, this collaboration has already borne fruit. On the one hand, these 3 years of work have allowed us to better identify and characterize the problems to be addressed and ways to address them. On the other hand, in addition to permanent staff in both teams, an engineer, a doctoral student and a post-doc have carried out significant preliminary work.
A particularly exciting aspect of this work context is the anchoring in the field since the INSERM team is in direct contact with patients (consultation, operation, follow-up) and is of course an expert on the medical aspects related to the pathology operated on.
Deadline :2024-11-30
(06) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M PhD Semantically-enriched queries and analysis of metagenomic datasets
The OmicFinder project (https://project.inria.fr/omicfinder/) will provide a search engine able to remove this lock. The central algorithmic idea of a genomic search engine is to index and query small exact words (hundreds of billions over millions of datasets), as well as the associated metadata. The project brings together Inria teams in algorithmic on strings, ontologies, computing architectures, and data distribution. They will bring algorithmic advances including computation frugality, clever index distributions, and smart ontology-based questions and answers filtration.
The core idea of the OmicFinder is to build an index of small exact words present in millions of datasets, so that a query based on this index will return the list of datasets that have (at least) a sequence containing this word. This corresponds to the syntactic aspect of query resolution.
Deadline : 2024-11-03
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(07) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Aerial Robots with the sense of touch
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 : 2024-10-31
(08) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Sensors-based Distributed Control of Multi-Drone Systems for Agile Cooperative Aerial Manipulation
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 : 2024-10-31
(09) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M REAL-TIME SURGICAL ASSISTANT FOR DISSECTION GUIDANCE
Inria, the French National Institute for Computer Science and Applied Mathematics, promotes “scientific excellence for technology transfer and society”. Graduates from the world’s top universities, Inria’s 2,700 employees rise to the challenges of digital sciences. With its open, agile model, Inria can explore original approaches with its partners in industry and academia and provide an efficient response to the multidisciplinary and application challenges of digital transformation. Inria is the source of many innovations that add value and create jobs.
Our project is to develop a real-time surgical assistant that leverages AI and augmented reality to provide precise dissection guidance, enhancing surgical accuracy.
Deadline : 2024-10-31
(10) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Inverse magnetisation problem in the paleomagnetic context
The Inria center at Université Côte d’Azur includes 42 research teams and 9 support services. The center’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 regional 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 :2024-10-01
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(11) Fully Funded PhD Position
PhD position summary/title:– Doctorant F/H Jeux répétés et apprentissage séquentiel : vers des algorithmes équitables et performants
La thèse se place à l’intersection des jeux répétés et de l’apprentissage statistique, et ce dans le but de développer des algorithmes robustes et équitables. Beaucoup d’algorithmes d’apprentissage fonctionnent séquentiellement (robotique, agent conversationnel, applications avec interactions humaines etc). La théorie des jeux fournit un cadre d’analyse des interactions, duquel peuvent être tirés des algorithmes simples et robustes à appliquer, notamment dans un cadre multi-agents. Il est alors possible de fournir des algorithmes avec des garanties théoriques qui permettent de s’assurer du bon fonctionnement des algorithmes implémentés en pratique.
La théorie des jeux répétés date de la moitié du 20e siècle, elle est particulièrement adéquate pour l’étude de l’apprentissage séquentiel. Ainsi, les jeux répétés asynchrone en sont une extension directe; de même pour la théorie de l’approchabilité, et les algorithmes de matching. Les outils qu’elle a développés seront mis au contact d’autres parties des mathématiques, pour répondre à de nouvelles questions. En particulier, nous nous intéresserons à développer des algorithmes équitables et/ou robustes aux manipulations stratégiques pour différentes applications, incluant les réseaux de télécommunication cognitifs, les algorithmes d’appariement et les algorithmes de prédiction.
Deadline : 2024-09-30
(12) Fully Funded PhD Position
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 : 2024-09-30
(13) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Energy-efficient QoE-aware Beyond 5G Future Mobile Networks
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 : 2024-09-30
(14) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Signal processing based on the squared eigenfunctions of the Schrodinger operator: Mathematical analysis and application to the identification of Vulnerable Carotid Plaques using CT Scans
The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .
The centre has 40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.
Deadline : 2024-09-30
(15) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Forming carbon fiber fabrics by visual servoing
The Inria Centre at Rennes University is one of Inria’s nine 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 :2024-09-30
(16) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Efficient Space and Garbage Collection for Functional Languages and Lambda Calculi
The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris.
The centre has 40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.
Deadline :2024-09-30
(17) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Wave propagation in unbounded hyperbolic media
Hyperbolic metamaterials are artificially engineered anisotropic materials which exhibit some unusual properties, such as negative refraction and backward wave propagation.
The name ‘hyperbolic’ comes from the respective dispersive curves (which relate the frequency and the wave vector of the plane waves propagating in such media): these curves take a form of hyperbolae, rather than circles or ellipses. This property enables them to support, for a fixed wavelength, an arbitrary large wavenumber. Their applications include enhanced particle absorption, emission, and collection, e.g. for sensors and antennas; super-resolution imaging; stealth technologies; rogue wave generation etc.
Unlike isotropic metamaterials, media with hyperbolic dispersion exist in nature, examples including crystals of hexagonal boron nitride, bismuth telluride, or even cold plasma.
From the mathematical point of view, the main particularity of the corresponding models lies in the fact that in the frequency domain the respective problem is (think of the wave equation where the time is replaced by a spatial variable), at least for a range of frequencies. This is strikingly different from classical frequency-domain problems, which are \textbf{elliptic} (think of the Laplace equation). Despite the abundance of the physics literature on this subject, to our knowledge, there exist very few works on the mathematical justification of the hyperbolic metamaterial models. An important related work is a very recent theoretical paper on the Poincar\’e problem (see Dyatlov et al. 2023)
Deadline : 2024-09-30
(18) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Construction de préconditionneurs efficaces pour des problèmes d’imagerie ultrasonore
Ce projet de thèse se situe à l’interface de plusieurs domaines des mathématiques appliquées : étude des équations aux dérivées partielles
à coefficients stochastiques, problèmes inverses, analyse et simulation numé- rique. L’équipe d’encadrement regroupe les compétences dans chacune des dif- férentes composantes et s’appuie notamment sur l’expertise de Laure Giovan- gigli en imagerie médicale et propagation d’ondes en milieux multi-échelles et aléatoires [fliss2020time, boucartmodelisation, Garnier2023] ; combinée à celle de Frédéric Nataf et d’Emile Parolin en calcul haute performance, méthodes d’éléments finis et de décomposition de domaine [Dolean2015, Spillane2014,
Bouziani2023, Daas2024, Parolin2020, Claeys2022, Claeys2022b, Nataf2024]. Les problématiques que nous souhaitons résoudre dans ce projet sont apparues lors d’une précédente thèse en imagerie ultrasonore en partenariat avec l’équipe d’Alexandre Aubry de l’Institut Langevin, et particulièrement grâce à l’étroite collaboration entre Laure Giovangigli et Pierre Millien. Enfin la thèse pourra profiter des ressources en calcul haute performance de l’équipe Inria Alpines à laquelle Emile Parolin et Frédéric Nataf appartiennent.
Deadline : 2024-09-30
(19) Fully Funded PhD Position
PhD position summary/title:– PhD student M/F Biological neural networks with discharges: geometry of interactions and long-time behavior
The Inria Saclay research center was created in 2008. Its dynamics are part of the development of the Saclay plateau, in close partnership on the one hand with the Paris-Saclay University cluster and on the other hand with the Institut Polytechnique de Paris cluster . In order to build an ambitious site policy, the Inria Saclay center signed strategic agreements with these two privileged territorial partners in 2021.
The center has 40 project teams , 32 of which are shared with the University of Paris-Saclay or the Institut Polytechnique de Paris. Its action mobilizes more than 600 people , scientists and research and innovation support staff, from 54 nationalities.
The Inria Saclay – Île-de-France center is a key player in digital science research on the Saclay plateau. It embodies the values and projects that make Inria unique in the research landscape: scientific excellence, technology transfer, multidisciplinary partnerships with institutions with skills that complement our own, in order to maximize Inria’s scientific, economic and societal impact.
Deadline : 2024-09-30
(20) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Detection of coordinated influence campaigns online
The thesis is financed by the newly created agency: Agence ministérielle pour l’intelligence artificielle de défense (AMIAD), and it will be in collaboration with Inria and Ecole Polytechnique.
Deadline : 2024-09-30
(21) Fully Funded PhD Position
PhD position summary/title:– PhD Position F/M Type-based security properties assurance in operating 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 : 2024-09-30
(22) Fully Funded PhD Position
PhD position summary/title:– Doctorant F/H Fast Optimal Transport for the Encoding and Decoding of Brain Activity across species
The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .
The centre has 40 project teams , 32 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.
Deadline : 2024-09-30
(23) Fully Funded PhD Position
PhD position summary/title:– Doctorant F/H Measuring brain microstructure through myelin content modelling in neurodegenerative diseases
In the context of neurodegenerative disorders, the myelin sheaths surrounding the axons are affected by physiopathological processes. Several techniques have been proposed to measure myelin content with MR imaging relying on different acquisition techniques on the one hand and quantitation techniques on the other hand. One popular acquisition technique is T2 relaxometry [1] but T2* relaxometry (GRASE) [2] is also an interesting surrogate. Other acquisition techniques are proposed such as in (ihMT), which focuses on the dipolar relaxation [3].
T2 relaxometry measures transverse relaxation times using a multi-echo spin echo sequence that provides a set of images at a fixed sampling rate along an exponential decay curve. The shorter the echo times and the longer the echo train length (number of echoes) the better we can characterize the signal decay and disentangle the contribution of the different tissues. T2* relaxometry uses more rapid sequences with GRASE readout schemes to achieve shorter echo times (sampling rate) yet under the influence of magnetic field inhomogeneities.
Deadline :2024-09-30
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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