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: Doctorant F/H Thèse Cifre
Dans le cadre d’un partenariat Inria Safran on envisage un travail de thèse (Cifre) dans le domaine des FANETs ( Flying Adhoc NETworks ) L’objectif est de développer des briques technologiques et des codes de simulation pour ces réseaux .
Deadline : 2023-07-31
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Markerless 3D localization of surgical tool in a per-operative context
Today, according to Global Market Insights, the orthopedic medical device (MD) market is growing rapidly and will be worth more than $22.4 billion by 2025. Joint replacement (hip, knee, extremities) represents nearly 37% of the market share. These devices include conventional ancillary instruments, custom-made guides, navigation systems, and robotic systems. More recently, augmented reality (AR) navigation systems have been developed. They are recognized for their accuracy, low cost, ease of use, as well as clinical added value. It is in this context that the ANR MARSurg project [2021-2025] aims to implement an innovative surgical navigation solution with high scientific, technological and clinical potentials.
Deadline : 2023-06-30
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Modeling Kinesthetic and Tactile Properties of Virtual Environments
The goal of this PhD is to propose a complete haptics pipeline that is agnostic on the haptic device used and integrate not only the definition of the haptic properties, but also the interaction characteristics of the user. The rendering of the haptic properties should not only be driven by the virtual object properties, but also by the actions of the user in the virtual environment [Vizcay 2021]. Thus, the interaction capabilities of the user should be taken into account [Dewez 2021]. In particular, avatars, the users’ virtual representation, is becoming ubiquitous in virtual reality applications. In this context, the avatar becomes the medium which enables users to interact with the virtual environment and also the main source of tactile and kinesthetic sensations. Moreover, the user’s avatar can modulate the perceived haptic sensations [Jauregui 2014], enabling a wider range of sensations that the ones provided solely by haptic actuators. Finally, haptic sensations should be congruent with the actual user’s actions in order to avoid the potential generation of an uncanny valley [Berger 2018], which is strongly linked with the notions of presence [Skarbez 2017] and virtual embodiment [Kilteny 2012].
Deadline : 2023-05-31
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Socially-Aware Embodied Conversational Agents: Achieving Task and Social Goals in Human-Computer Conversation with students
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. This position is a 3-4 year doctoral contract.
Deadline : 2023-03-31
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Integrated localization and mapping for autonomous vehicles
The objective is to conduct research and contribute to the development of localization and mapping algorithms dedicated to autonomous vehicle with high integrity, for the transport of people or goods and operating in highway and urban environments. These modules will be validated on real instrumented prototypes belonging to the project partners.
Deadline : 2023-03-31
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Koopman operator modelling of non-linear dynamical systems for ensemble methods.
The goal of this project is to incorporate statistical learning tools in ensemble-based data assimilation methods for large scale dynamical systems from fluid mechanics and geophysical flows. Especially, it is to learn eigenfunctions of the Koopman operator restricted to a reproducing kernel Hilbert space (RKHS) transported by the dynamical system. This RKHS transported in time by the dynamical system constitutes a manifold sampled by the ensemble of trajectories, in which efficient estimations can be performed. This manifold has so nice mathematical properties, that it is given the nickname of “Wonderland”.
Deadline : 2023-03-01
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Trustworthy multi-site privacy-preserving technologies
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. Notions such as (local) differential privacy and its generalizations allow to bound the amount of information revealed. The overall goal of the TRUMPET project is to research and develop novel privacy enhancement methods for Federated Learning, and to deliver a highly scalable Federated AI service platform for researchers, that will enable AI-powered studies of siloed, multi-site, cross-domain, cross-border European datasets with privacy guarantees that exceed the requirements of GDPR.
Deadline : 2023-02-28
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M PhD student on federate learning and multi-party computation techniques for prostate cancer
The goal of the multi-disciplinary FLUTE project is to advance and scale up data-driven healthcare by developing novel methods for privacy-preserving cross-border utilization of data hubs. Advanced research will be performed to push the performance envelope of secure multi-party computation in Federated Learning, including the associated AI models and secure execution environments.
Deadline : 2023-02-28
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Self-supervised learning for implicit shape reconstruction
Recent years have seen a surge in implicit neural shape representations for modeling 3D objects and scenes within deep learning frameworks. Thanks to their ability to continuously represent detailed shapes with arbitrary topologies in a memory-efficient way, these representations alleviate many of the shortcomings of the traditional alternatives such as polygon meshes, point clouds and voxel grids. In practice, these shape functions are typically multi-layer perceptrons mapping 3D points to occupancy or signed distance values. The zero level set of the inferred field can be rendered differentiably through variants of ray marching and tessellated into explicit meshes with Marching Cubes. Coupling these implicit neural functions with conditioning mechanisms allows generalization across multiple shapes. For instance, combining their inputs with local features generated from additional encoding networks [1,2,3,4] yields single forward pass inference models that can learn 3D reconstruction from various input modalities such as images [5,6] or partial point clouds [1,2,3,4].
Deadline : 2023-02-28
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M 3-year PhD position in Automatic Argumentation Mining in French Legal Decisions
We invite applications for a 3-year PhD position co-funded by Inria, the French national research institute in Computer Science and Applied Mathematics, and LexisNexis France, leader of legal information in France and subsidiary of the RELX Group.
Deadline : 2023-02-16
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Fairness in Federated Learning
The selected PhD student will be mainly based in Lille in the MAGNET team but will also frequently visit the COMETE team. The main objective of the COMETE team is to develop principled approaches to privacy protection to guide the design of sanitization mechanisms in realistic scenarios. Similarly, the main objective of the MAGNET team is to develop ethically acceptable machine learning algorithms focusing on privacy, federated learning, and fairness and to empower end users of artificial intelligence.
Deadline : 2023-02-02
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Automated Reasoning for Set Theory
The ANR project BLaSST aims at bridging combinatorial and symbolic techniques in automatic theorem proving, in particular for proof obligations arising from models written in the B formalism. Work will be carried out on SAT-based techniques as well as on more expressive SMT formalisms. In both cases, encoding techniques, optimized resolution techniques, model generation, and lemma suggestion will be considered. Combining both lines of work, the expected scientific impact is a substantially higher degree of automation of solvers for expressive input languages by leveraging higher-order reasoning and enumerative instantiation over finite domains. The effectiveness of the techniques developed in the project will be evaluated by applying them to benchmark sets provided by the industrial partner.
Deadline : 2023-01-31
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M PhD Student in Operating Systems
Efficient lock algorithms are key to ensuring application scalability on multi-core architectures [1, 2, 3]. While many lock algorithms have been proposed in the past decades to improve lock handover times under high contention as well as cache and NUMA locality, even the best lock algorithms can perform poorly due to unfortunate decisions from the OS scheduler. The Berkeley Packet Filter (BPF) makes it possible to inject verified code inside the Linux kernel. While BPF was historically used for packet filtering, it is now commonly used for profiling, and it has recently been used in more exotic use cases (e.g., [4]).
Deadline : 2023-01-31
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Deep interactive control of virtual character’s motion based on separating identity, motion and style (Inria/InterDigital Ys.ai project)
This PhD position will focus on exploring, proposing and evaluating novel solutions to represent both body shape and movements in a compact latent representation. This representation aims at simplifying the adaptation of the shape (identity) of a user, or/and his motion, and/or the style of both his shape and motion (such as transferring the user’s moving shape to a fictional character with different properties and style).
Deadline : 2023-01-31
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Creative Visualization Sketching
The thesis is fully funded by Inria and the ANR project GLACIS, which brings together experts from Human-Computer Interaction (HCI), Information Visualization, and Computer Graphics. There are opportunities for collaboration with Inria Sophia Antipolis (Computer Graphics), as well as Inria Bordeaux, the École Centrale de Lyon, and the University of Toronto (Visualization and HCI). We also foresee close interactions with design experts.
Deadline : 2023-01-31
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Algorithmic aspects of quantum communication
This project is at the intersection of the fields of quantum information theory, approximationalgorithms and optimization. Its objective is to leverage tools from optimization theory in order to build analgorithmic theory of communicationthat would go beyond the current approach founded by Shannon’s paper “A Mathematical Theory of Communication”. The goal is to establish efficient algorithms that determine the optimal method for reliable communication using a noisy medium.This approach is particularly appealing in the context of quantum information theory for two reasons : Shannon’s approach turned out to be much less successful in the quantum setting and the asymptotic definition of communication rates has less practical relevance as we only have access to small quantum systems.
Deadline : 2023-01-31
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(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Novel prediction methods and structured prediction in dynamical systems
The internship is in the context on the recently awarded ERC Starting Grant REAL. The whole goal of the research project is to help machine learning to overcome its current limitations and become an solid tool for science and engineering, from a practical and theoretical viewpoint.
Deadline : 2023-01-22
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Energy efficient data management: Data reduction and protection meet performance and energy
This PhD will be hosted by Inria (Myriads team, Rennes Bretagne Atlantique) and will be funded by Inria. This sub-project is a part of the Inria-OVH collaborative framework. Thus, the work will be carried out in a close collaboration with OVH. In fact, we plan to validate the results of the project using several OVH data services including backup services and media service, etc.
Deadline : 2023-01-20
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Reliable and cost-efficient data placement and repair in P2P storage over immutable data
This PhD thesis will be in the context of a collaboration between HIVE and Myriads and Coast Inria teams. The Ph.D student will be located at Inria Center of the University of Rennes and will be visiting team Coast at Inria Nancy-Grand Est and the Hive offices in Cannes.
Deadline : 2023-01-16
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Exploiting causal indefiniteness in quantum computational models
The successful PhD candidate will joint the QInfo group, and will be jointly supervised by Alastair Abbott (Inria, QInfo) and Cyril Branciard at the nearby Institut Néel (CNRS). The QInfo group is a newly formed Inria team bilocalised in Grenoble and Lyon working on the theory of quantum information. In Grenoble, the group also collaborates closely with members of the CAPP team at LIG working on quantum information. The PhD project is part of a recently awarded ANR collaborative project “Taming Quantum Causality (TaQC)” set to start in January 2023. There will be opportunities to collaborate with partners of the project at the Inria Saclay Centre (QuaCS team) and CEA Saclay. Funding is available in the project to attend pertinent conferences and travel to collaborate with partners.
Deadline : 2023-01-15
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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