30 Ph.D. Degree Scholarships at Inria in France fully Funded

30 Ph.D. Degree Scholarships at Inria in France are Open to all International Applicants who want to pursue higher education abroad. Applications are accepted worldwide for this Fully Funded scholarship to pursue their Doctoral Degree at The National Institute for Research in Computer Science and Automation (Inria). No Application Fee will be charged for Inria Ph.D. Programs. Apply Here: University of Tokyo Fully Funded Scholarship 2024 | ADB-JSP

The Government of France offers a lot of scholarships for International Students and the Inria scholarship is also one of the best scholarships for the Ph.D. Degree Program. This Fully Funded scholarship covers all expanses of candidates while staying in France. IELTS or TOFEL Score may be Required for Inria Ph.D. Degree Program if you do not belong to an English Speaking Countries. Visit: NUS Fully Funded Scholarship 2024 in Singapore

The National Institute for Research in Computer Science and Automation (Inria) is one of the best Universities founded in 1967 and situated in France. Inira is ranked 12th according to the Global Ranking. The National Institute for Research in Computer Science and Automation (Inria) is an international standard University providing Quality environments to Researchers worldwide. Never miss this opportunity of a Ph.D. at Inria France. Full Details of the Inria ph.D, Degree Program are below lines:

Complete Overview of 30 Ph.D. Degree Scholarships at Inria:

• Offered Degrees: Ph.D.
• Fellowship Award: Fully Funded
• University Name: The National Institute for Research in Computer Science and Automation (Inria)
• Host Country: France
• Application Last Date: Open Now

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1. Ph.D. Position F/M Distributed Training of Heterogeneous Architectures:

This Ph.D. dissertation fits under the Inria-Nokia Bell Labs Federated Learning for Cellular Networks research initiative and has a deeper relationship to Inria’s FedMalin Federated Learning research initiative (https://project.inria.fr/fedmalin/). The Ph.D. candidate will work with the Nokia Bell Labs research group in Massy, France (https://www.bell-labs.com/about/locations/paris-saclay-france/), as well as the NEO project team at Inria (https://team.inria.fr/). The AI Research Lab at Nokia Bell Labs houses the Machine Learning & Systems team, which is made up of computer scientists and data engineers. They create AI-based systems and algorithms to close the gap between the promise of AI’s limitless potential and the limitations imposed by actual computing and communication systems. NEO is situated at the nexus of Network Science and Operations Research.

Deadline: 23th July 2023

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2. Ph.D. Position F/M Hair Capture and Modeling:

The Ph.D. post is a component of a collaborative laboratory run by the French national institution of computer science and Automation, Inria, and Interdigital, a prominent technology and research business. Within the Nemo.ai framework of the partnership between Inria and InterDigital, the Ph.D. will be one of many Ph.D. subjects centered around the avatar depiction of individuals. The three-year Ph.D. will begin as soon as possible. The Morpheo team at INRIA Grenoble Rhône-Alpes and the MetaVideo team at InterDigital Research and Innovation labs in Rennes will be in charge of supervision. The main area of study for Morpheo is the perception and interpretation of moving shapes, with applications to immersive and interactive environments, character animation, and other fields. The Ph.D. will also be co-supervised by the MetaVideo group, which creates transmission representations.

Deadline: 30th July 2023

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3. Ph.D. Position F/M Device-Independent Quantum Key Distribution:

The ninth Inria research center was formally established in January 2022 and is located in Lyon. It brings together 16 research teams and research support services, totaling over 300 persons. At this time, its employees are split between two campuses: Lyon Gerland (ENS de Lyon) and Villeurbanne La Doua (Centre/INSA Lyon/UCBL). The Lyon Centre is active in the areas of software, embedded systems, distributed and high-performance computing, quantum computing, and privacy in the digital sphere, as well as in the disciplines of computational biology and digital health.

Deadline: 30th July 2023

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4. Ph.D. Position F/M Verified Offloading Orchestration of Network Functions at the Edge:

The RESIST team at Inria Nancy Grand Est, a French national public institute devoted to research in digital science and technology, has proposed the post. One of the top European research teams in network management, the group is particularly interested in enhancing the scalability and security of networked systems through a close relationship between network orchestration, monitoring, and analytics. The HiSec project is the setting for this effort. The 5G PEPR, established by the ANR, which focuses on cyber-security challenges in future networks, includes the HiSec project. The service delivery for digital infrastructures has benefited greatly from the activities of these networks.

Deadline: 30th July 2023

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5.  Ph.D. Position F/M Ph.D. – Design and codesign of near-term algorithms for quantum computing:

We concentrate on creating cutting-edge theoretical tools that can be used to comprehend quantum computer capabilities, enhance their design for particular algorithms, and enable new functions through quantum information processing. With this comprehensive strategy, we intend to progress the state-of-the-art in quantum information processing and offer insightful information for upcoming advancements.

Deadline: 31st July 2023

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6. Ph.D. Position F/M Fast solvers for studying light absorption by nanostructured imagers:

A particularly interesting approach is to use nanostructuring to boost the efficiency of CMOS imagers built on microlens grids. According to this viewpoint, numerical modeling is an essential tool for precisely characterizing and optimizing the absorption characteristics of these intricate imaging structures, which are inherently multiscale (ranging from the lenses’ micrometer scale to the nanometric features of the layers of nanostructured material). The current Ph.D. project is being proposed as part of a partnership between STMicroelectronics’ (CMOS Imagers division of the Technology for Optical Sensors department) Crolles location and the Inria research center’s Atlantis project team at Université Côte d’Azur.

Deadline: 31st July 2023

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7. Ph.D. Position F/M Fine-Grained Language Classification of Very Large Corpora:

This job is a component of the DEFI project COLaF (Corpus and Tools for the Languages of France) at Inria, which is a partnership between the project teams at Inria ALMAnaCH (in the Paris center) and MULTISPEECH (in the Nancy-Grand Est center). The project’s goal is to create inclusive data corpora, models, and software building blocks in order to develop and make accessible digital linguistic technologies for the French-speaking world (native and non-native, contemporary or not, in France and outside of France, etc.) and the languages of France (all languages spoken in France: regional Romance and non-Romance languages, Creoles, immigrant languages, etc.). While MULTISPEECH focuses on multimodal speech, ALMAnaCH emphasizes text.

Deadline: 31st July 2023

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8. Ph.D. Position F/M Self-supervised learning for implicit shape reconstruction:

Deadline: 31st July 2023

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9. Ph.D. Position F/M Video-based dynamic garment representation and synthesis:

The Ph.D. post is a component of a collaborative laboratory run by the French national institution of computer science and Automation, Inria, and Interdigital, a prominent technology and research business. A team from Interdigital in Rennes, an Inria Morpheo team from Grenoble, and an Inria Mimetic team from Rennes are all sharing the Ph.D.

Deadline: 31st July 2023

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10. PhD Position F/M Remote attestation for Internet-of-Things swarms:

Deadline: 31st July 2023

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11. Ph.D. Position F/M Physics-Based Motion Analysis for Interactive Free-Viewpoint:

There are 8 support services and 37 research teams at the Université Côte d’Azur’s Inria center. About 500 individuals work for the center as employees, including engineers, technicians, and administrative workers in addition to scientists from various nationalities. The teams are mostly situated on the campuses of Sophia Antipolis, Nice, and Montpellier universities, working closely with research and higher education institutions (such as Université Côte d’Azur, CNRS, INRAE, and INSERM) as well as regional business leaders. The Inria Centre at Université Côte d’Azur is a significant player in terms of scientific excellence through its outcomes and collaborations at both European and international levels. It is active in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics.

Deadline: 03th August 2023

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12.  Ph.D. Position F/M Investigating Hybrid Volumetric/Geometry showing for Rendering and Interactive Editing of 3D Scenes:

The Université Côte d’Azur’s Inria complex houses 37 research teams and 8 support services. The center employs about 500 people, including engineers, technicians, and office staff in addition to scientists from different nationalities. The teams collaborate closely with research and higher education institutions (such as Université Côte d’Azur, CNRS, INRAE, and INSERM) as well as local business leaders, and are mostly located on the campuses of Sophia Antipolis, Nice, and Montpellier universities. Through its accomplishments and partnerships at the European and global levels, the Inria Centre at Université Côte d’Azur is a prominent player in terms of scientific quality. It is involved in the areas of software engineering, certification, data science, modeling, computational neuroscience, and biology.

Deadline : 03th August 2023

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13.  Ph.D. Position F/M Machine learning for extreme weather forecasting:

Extreme weather conditions, such as heat waves and severe storms, can have a significant effect on society, especially when it comes to the hazards they cause, like flooding, wildfires, and drought. As societies attempt to adapt to a changing climate, machine learning can help to improve the forecasting of such extreme events. The majority of modern weather forecasting is based on numerical weather prediction (NWP), which uses supercomputer-based models that are physics-driven. Due to the high computational cost of running these NWP models, the projections are not updated in real time. Researchers in the IT sector are currently competing to anticipate weather better than NWP by training deep learning models on reanalysis data sets (such as ERA5).

Deadline: 04th August 2023

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14.  Ph.D. Position F/M Ph.D. proposal – Modeling and Calibration of Crowd Behaviors in Public Spaces: 

At each of these stages, a crowd simulation is an effective tool for forecasting crowd behavior in planned or existing locations, assisting with situational analysis, and presenting scenarios for how a certain situation might develop. But in actual application, this technology is still not very common. One of the main causes of this is how difficult it is to configure a simulator for a particular scenario. Another major factor is how well a simulator can really simulate crowd conduct, which is greatly influenced by the type of event and the facilities used to host it. By addressing these two barriers—the realm of validity and automatic calibration—this thesis aims to expand the application of crowd simulators to the management of large-scale events.

Deadline: 04th August 2023

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15. Ph.D. Position F/M Next generation of development environments:

Deadline: 15th August 2023

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16. Ph.D. Position F/M [PEPR SN AI4scMED] Single-cell multi-omics data integration for gene regulatory network inference:

You will create methodological components and algorithms for the integration of single-cell multi-omics data sets in the context of cell-based precision medicine as part of the PEPR project AI4scMED, in which Inria’s team BEAGLE works with research groups in Grenoble, Montpellier, and Paris. The next stage, gene regulatory network inference, which is essential for a mechanistic understanding of the regulatory mechanisms taking place in healthy and diseased cells, is what you want to make easier. A Ph.D. student will hold this position for three years. While collaborating with the other participants of Work Package 1.2 (N. Varoquaux, A. Cleynen, H. Isambert, L. Cantini, and others) and members of the project AI4scMED, you will receive guidance from Anton Crombach and Thomas Guyet (HDR) (Inria Centre de Lyon).

Deadline: 16th August 2023

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17. Ph.D. Position F/M Efficient task hybridization in heterogeneous computing| Practical combinations of Control and Scheduling theories:

The PULSE project, where Inria, Qarnot Computing, and ADEME are “PUshing Low-carbon Services towards the Edge” with the goal of reducing environmental effects in Edge Computing, serves as the context for this study. The Qarnot company sets itself apart from conventional infrastructures in this field by offering a decentralized cloud solution that enables the reuse of server heat to power high-demand sites like swimming pools, heat networks, factories, etc. using CTRL-By creating a cutting-edge framework for model-based design of controllers in autonomous computing, a research team is addressing these issues. To help developers create appropriate controllers for their individual reconfigurable architectures, whether software or hardware, we want to give general software engineering methodologies and tools.

Deadline: 20th August 2023

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18. Ph.D. Position F/M Energy efficient data management: Data reduction and protection meet performance and energy:

The total amount of data collected around the globe is increasing exponentially, and it will total 64.2 zettabytes by 2020. Large cloud providers have stocked their infrastructure with millions of power-hungry computers dispersed across numerous geographically distinct data centers to accommodate the continuously expanding demand for computing resources to store and analyze Big Data. This has a significant impact on how much energy is needed to run these data centers. Energy consumption will continue to be a key issue in the Cloud, though, as the amount of data and the size of data centers both grow. Making data management in the cloud energy-efficient is crucial.

Deadline: 20th August 2023

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19. Ph.D. Position F/M Dolev-Yao model-guided fuzzing of cryptographic protocols:

The purpose of this Ph.D. thesis is to support the DY Fuzzing initiative. Dolev Yao (DY) model-guided fuzzing, which we propose in this research, is a novel and useful technique that prevents logical attacks on protocol implementations. The fundamental concept is to employ a mutation-based fuzzer to investigate the set of abstract DY executions of the DY attacker as potential test cases. A preliminary explanation of these concepts and a prototype DY fuzzer implementation are provided in [1]. This initial study sets the door for numerous follow-up efforts, such as plugging the fuzzer of various TLS implementations, creating fuzzes for additional protocols (such as DTLS, QUIC, WPA, etc.), and creating better metrics to direct the fuzzer.

Deadline: 31st August 2023

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20. Ph.D. Position F/M Learning bimanual robot skills from human demonstrations and natural language:

The European project euROBIN includes the team LARSEN. The project’s advancement of transferrable, embodied AI with cognition is one of its key objectives. It will make significant scientific progress in the areas of InterAct, Learning Transfer, Transferable Knowledge, and Human-Centered Transfer. Investigated are three robotics domains: manufacturing, outdoor, and personal. Inria is in charge of this project’s personal robotics challenge. Bimanual manipulators and humanoid robots are required to carry out a variety of complicated manipulation, navigation, and interaction activities in a home environment as part of this project, which is being led by INRIA. Unloading a dishwasher, opening a refrigerator to get an item, folding clothes, carrying, and handing goods to people are a few of these chores.

Deadline: 31st August 2023

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21. Ph.D. Position F/M Decentralized learning of large-scale neural network models:

This Ph.D. post will be based on the Argo team of Inria Paris, which is near the Gare de Lyon and in Paris’s 12th arrondissement. The ARGO team’s efforts span distributed learning to learning and control with structured data, working at the nexus of graph theory and machine learning. Additionally, this role is a part of PEPR IA’s Redeem project, a research project on resilient, decentralized, and privacy-preserving machine learning that involves 5 research teams based in Lille, Lyon, Paris, and Saclay. The hired individual will have the chance to cooperate with other project members and profit from the scientific emulation that the project will produce.

Deadline: 31st August 2023

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22. Ph.D. Position F/M Thesis on Enhanced Deep Learning via Optimisation in Computational Imaging:

2008 saw the establishment of the Inria Saclay-Île-de-France Research Centre. It has grown as a component of the Saclay site through collaboration with the Institut Polytechnique de Paris and Paris-Saclay University.

Deadline: 31st August 2023

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23. Ph.D. Position F/M Dynamic Parallelization of Sparse Codes for Machine Learning and High-Performance Computing:

The ninth Inria research center was formally established in December 2021 and was formerly known as the Lyon branch of the Grenoble-based Inria center. It brings together 15 research teams and research support services, totaling over 270 individuals (including 110 Inria workers). At this time, its employees are split between two campuses: Lyon Gerland (ENS de Lyon) and Villeurbanne La Doua (Centre/INSA Lyon/UCBL). In the course of 2022, a third location ought to be opened. The majority of the teams are hosted by our partners. Teams from the center collaborate closely with laboratories at research institutes and institutions of higher learning in Lyon (ENS de Lyon, UCBL, INSA Lyon, etc.), as well as with other research organizations in Lyon (CNRS, INRAE, competitiveness clusters.

Deadline: 31st August 2023

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24. Ph.D. Position F/M Big Data and Machine Learning Methods for Direct-to-Satellite Internet of Things:

As a result, significant effort is being made to create specialized and embedded artificial intelligence hardware (AI-HW) that can manage the massive amounts of memory, quick processing, and energy-intensive data transit that AI requires in order to operate at its peak performance. Additionally, it is highly desirable to have “explainable AI,” also known as eXplainable AI (XAI), in order to increase AI transparency and confidence, responsibly use AI in the context of critical applications, and expand its potential application areas. At the moment, XAI is receiving a lot of attention. AI-HW is prone to errors from a multitude of sources, including fluctuation in the manufacturing process settings, latent faults, and even environmental stress, just like traditional computing hardware.

Deadline: 31st August 2023

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25. Ph.D. Position F/M Trustworthy AI hardware architectures:

As a direct result, there is a lot of work being done on developing specialized and embedded artificial intelligence hardware (AI-HW) to handle the enormous amounts of memory, fast processing, and energy-intensive data transportation that AI needs in order to function at its maximum capacity. Additionally, eXplainable AI (XAI), often known as “explainable AI,” is extremely desirable in order to boost AI transparency and confidence, employ AI responsibly in the context of essential applications, and broaden its potential application areas. XAI is currently a topic of great attention. Similar to conventional computing hardware, AI-HW is susceptible to errors from a variety of causes, including variation in the fabrication process parameters, latent flaws, and even environmental stress. The part HW failures can play in AI is one of the underappreciated elements.

Deadline : 31st August 2023

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26.  Ph.D. Position F/M Primal and dual bounds for adjustable robust optimization:

This dissertation is being offered as part of the DROI (Decision Rules for Optimisation under Uncertainty) project, which is being supported by the ANR (Agence Nationale de la Recherche) and is registered under grant number ANR-22-CE48-0018. This thesis aims to develop adjustable robust optimization state-of-the-art. From both the primal and the dual perspectives, we will approach these issues, hoping to offer either precise answers or approximations with a gauge of the optimality gap. We shall research new classes of decision rules from the primal side. The goal of this study is to make present approaches more effective in terms of the standard of the result and applicability across the board. From the dual side, we will investigate relaxations based on non-anticipatively or the Lagrangian relaxation of the coupling constraints.

Deadline : 04th September 2023

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27. Ph.D. Position F/M Hardware-guided compression & fine-tuning of Transformer-based models:

Deadline : 05th September 2023

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28.  Ph.D. Position F/M Reliable and cost-efficient data placement and repair in P2P storage over immutable data:

The partnership between the HIVE, Myriads, and Coast Inria teams will be the setting for this Ph.D. thesis. The doctoral candidate will be based at the Inria Centre of the University of Rennes and will go to the Hive offices in Cannes as well as Team Coast at Inria Nancy-Grand Est.

Deadline :16th September 2023

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29. Ph.D. Position F/M Topology Design for Decentralized Federated Learning:

There are 8 support services and 37 research teams at the Université Côte d’Azur’s Inria center. About 500 individuals work for the center as employees, including engineers, technicians, and administrative workers in addition to scientists from various nationalities. The teams are mostly situated on the campuses of Sophia Antipolis, Nice, and Montpellier universities, working closely with research and higher education institutions (such as Université Côte d’Azur, CNRS, INRAE, and INSERM) as well as regional business leaders. The Inria Centre at Université Côte d’Azur is a significant player in terms of scientific excellence through its outcomes and collaborations at both European and international levels. It is active in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics.

Deadline: 30th September 2023

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30.  PhD Position F/M Socially-Aware Embodied Conversational Agents: Achieving Task and Social Goals in Human-Computer Conversation:

The goal of this research is to create embodied conversational agents (ECAs), also referred to as virtual humans, chatbots, or multimodal dialogue systems, who can interact with users in both social and task talk, with the social talk enhancing task performance. To accomplish this goal, we model human-to-human communication, incorporate the models into ECAs, and assess the effectiveness of the ECAs. This job has a three to four-year doctorate contract.

Deadline: 30th September 2023

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