26 PhD Degree Position – Fully Funded at Inria, France
The National Institute for Research in Computer Science and Automation (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 “BIOMIMETISM AND BIOINSPIRATION OF A SNAKE’S ANGUILLIFORM SWIMMING : NUMERICAL TWIN AND MACHINE LEARNING”
This thesis work is part of a larger ANR project (Dragon II) in which biologists, fluid mechanicists, mathematicians and roboticians collaborate.
The thesis will be carried out in alternation between Inria Bordeaux – Sud-Ouest (Memphis team) and the PPRIME Institute in Poitiers (Curiosity team).
Deadline of PhD Position: 2021-09-30
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Bridging Supercomputers and Clouds at the Exascale Era Through Elastic Storage
Deadline of PhD Position: 2021-09-30
(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Position F/M Learning and evaluating 3D human motion synthesis
The Ph.D. will start in October 2021 and its duration will be 3 years. The Ph.D. will be supervised by Stefanie Wuhrer, Inria Grenoble-Alpes, and Anne-Hélène Olivier, Université Rennes 2.
Deadline of PhD Position: 2021-09-21
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(04) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M High-performance computing compilation schemes using dynamic analysis
In this PhD thesis, we focus in the inference of high-performance computing compilation schemes, thanks to dynamic analysis on a selection of execution traces. The PhD student will revisit the key ingredients of parallel/optimizing compilers: data placement, computation scheduling and partitionning and code generation. In particular, the PhD student will investiguate how to select execution traces to ensure code coverage and how to extrapolate the results of dynamic analysis to polyhedral compilation mappings. A compilation infrastructure will be built on top of LLVM to validate the results on the polyhedral compilation benchmarks.
Deadline : 2021-09-01
(05) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Development of control strategies for synthetic microbial consortia (funded PhD offer)
The project is in the context of the ANR project Ctrl-AB (https://anr.fr/Projet-ANR-20-CE45-0014). It is focused on theoretical and applied control in a highly interdisciplinary context. Based in Grenoble within the Inria project-team IBIS, it will be co-supervised by Eugenio Cinquemani (IBIS, https://team.inria.fr/ibis/eugenio-cinquemani/) and Jean-Luc Gouzé (BIOCORE, Inria Sophia-Antipolis, http://www-sop.inria.fr/members/Jean-Luc.Gouze/JLGouze-fra.html), both members of the ANR project CtrlAB. It will profit from the control-theoretic and systems-biology expertise of IBIS and BIOCORE, as well as from the interaction with other experimental partners of CtrlAB.
Deadline : 2021-09-01
(06) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M High Performance On-line Deep Neural Network Training from Synthetic Data
The candidate will join the DataMove INRIA team located on the campus of the Univ. Grenoble Alpes near Grenoble. The DataMove team is a friendly and stimulating group with a strong international visibility, gathering Professors, Researchers, PhD and Master students all pursuing research on High Performance Computing.
This work is part of a joint collaboration between INRIA and DFKI in Germany. Expect close collaborations with DFKI and very likely week-long visits there. In particular one other PhD student will be hired at DFKI in Germany to work more specifically on the adaptive sampling.
Deadline : 2021-08-31
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(07) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Learning Non-rigid Surface Matching
The Ph.D. will take place within the Morpheo research team at Inria Grenoble Rhône-Alpes. The team deals with the capture and analysis of dynamic scenes from multi-camera studios, and operates its own 68 camera acquisition platform and cluster, http://kinovis.inrialpes.fr.
The PhD topic is on surface matching which is the process of finding correspondences between shape surfaces. Of particular interest whithin the Morpheo context is the application of surface matching to 3D human reconstructions with different body poses and dynamic clothing as captured along time in dynamic mesh sequences. The objective is to achieve 4D temporally coherent meshes across complex dynamic scenes, e.g., mesh connectivity does not vary from frame-to-frame. The PhD will investigate learning based strategies for that purpose.
Deadline : 2021-07-31
(08) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Learning Statistical Human Anatomic Models of Shape and Motion
In this project the PhD will research the relations between the observations obtained with these two modalities (internal and external scanning), and provide innovative methods in order to infer the internal measurements from the dynamic external ones. Precisely, there are two main objectives. The first objective is to create a statistical anatomic model of the human body, accounting for the distribution of adipose, muscle and bone tissue. The second objective is to develop methods to obtain a subject-specific instance of the anatomic model from external dynamic measurements of the human body.
Deadline : 2021-07-04
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(09) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Dynamic Precision Training of Deep Neural Network Models on the Edge
The PhD candidate will work on the algorithmic/optimization aspects of reduced/mixed precision DNN training. A starting point will be the investigation of gradient-based backpropagation methods and the development of mixed-precision variants, with a main focus of using dynamic and adaptive number format precision choices in order to enhance energy efficiency [9, 10]. In a second stage, the candidate will also study alternative training strategies in a dynamic/mixed precision context that might show enhanced convergence guarantees and/or are more tolerant to low precision numerical effects. In particular, we will study and develop dynamic mixed-precision methods based on second-order optimization algorithms [11] and on hierarchical neural network modelling [3].
Deadline : 2021-07-03
(10) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Hardware Acceleration for Dynamic Mixed Precision Training of Deep Neural Network Models on the Edge
The PhD will be concerned with the arithmetic and hardware generation aspects of the mixed-precision training approaches being devised in the context of CominLabs LeanAI project. The main task will revolve around building a toolkit of software/hardware co-design methods related to arithmetic operations in the context of training, which will rely on existing high level synthesis (HLS) tools from established vendors (such as those from Xilinx) for deployment. A large part of the work will revolve around the design of custom mixed-precision operators for the various operations performed during training and inference (e.g. dot product / matrix multiply operations and activation function evaluation).
Deadline : 2021-07-03
(11) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M PhD position F/M – Spiking neurons for wireless communications
The PhD candidate will be hosted within the CITI laboratory, a joint laboratory between INRIA, INSA-Lyon and the University of Lyon, based in the metropole of Lyon in France. The candidate will work within the MARACAS INRIA team in collaboration with the IMT Lille Douai..
This thesis is funded by the french ANR project UWAKE. Insa will be the employer.
Deadline : 2021-07-03
(12) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Algorithmic inference through the lens of sampling and optimization for convex sets
We are looking for PhD candidate to work at the intersection of optimization, high-dimensional geometry, and computational statistics with a focus on new algorithms and implementations for algorithmic inference, high-dimensional sampling, integration and convex optimization.
Deadline : 2021-06-30
(13) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Deep learning for assisting diagnosis of neurological diseases using a very large-scale clinical data warehouse
The aim of this project is to design and validate deep learning methods for computer-assisted diagnosis of neurological disorders using a very large dataset (over 100,000 patients) from the AP-HP data warehouse.
Deadline : 2021-06-30
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(14) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Security-enhancing compiler against side-channel attacks
Deadline : 2021-06-30
(15) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Force-based criterion for in-situ analysis of physical activity at work: application to load carrying
the objective of this thesis is the development of an force-based criterion for the analysis of the physical activity of the operator, exploitable in-situ, i.e. from data that can be acquired on site, without impact for the activity. To develop this effort criterion in a relevant application framework, we will focus on a very common task in an industrial environment: the bimanual load carrying. Indeed, the handling of heavy objects concerns many sectors of activity: the logistics sector for storage or order preparation, the construction sector for the
Deadline : 2021-06-30
(16) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Design of haptic feedback using innovative shapeable materials
The aim of the Dornell project (Inria Challenge) is to propose an innovative multisensory, multimodal, smart haptic handle that can be easily plugged onto a wide range of mobility aids, including white canes, precanes, walkers, and power wheelchairs. Specifically fabricated to fit the needs of a person, it provides a wide set of ungrounded tactile sensations (e.g., pressure, skin stretch, vibrations) in a portable and plug-and-play format – bringing haptics in assistive technologies all at once.
Deadline : 2021-06-30
(17) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M PhD position in formal verification of cryptographic protocols
The goal of this project is to improve automation in protocol analysis tools, in particular the Tamarin prover, through the use of machine learning techniques to identify more advanced proof strategies. This approach that has been successful in general purpose proof assistants [CK18, KBKU13]. First results in this direction [XSH+20] suggest that this approach is indeed very promising.
Deadline : 2021-06-30
(18) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M A DISTRIBUTED AND TRUSTED WEB OF FORMAL PROOFS
These goals can be summarized as follows. Determine how to do naming in highly distributed proof libraries. A key component of most proof methods is the use of bound variables at the level of proof structures: these are called eigenvariables by Gentzen and λ-bound variables by many logical frameworks. While this concept of proof-level-binding is treated well in modern proof systems [DM19], when we need bindings to work in the highly distributed setting of W3Proof, an entirely new approach to such bindings must be taken. A good starting point for this kind of binding construction is to use various well-known cryptographic constructions. Structuring and sharing theories and proofs. Libraries of theorems and proofs need to be treated as emergent structures, just as Wikipedia is an emergent feature of the basic protocols’ underlying structure of the web (URL, HTTP, HTML, etc).
Deadline : 2021-06-30
(19) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Privacy-preserving methods for medical research
This PhD student position will be supported by the ANR-PMR project on Privacy-preserving methods for Medical Research. This project is a collaboration between the MAGNET team (INRIA-Lille, https://team.inria.fr/magnet/), the MYRIAD team (INSA-Lyon) and PRIVATICS (INRIA-Lyon, INSA-Lyon).
Deadline : 2021-06-30
(20) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Automatic synthesis of multi-thread and out-of-order pipelines
This PhD offer is set within a collaboration between the PACAP and CAIRN Inria project-teams, and supported by the French National Research Agency (ANR). It will combine the respective research expertises of CAIRN on compilers for high-level hardware synthesis and of PACAP on processor and GPU architecture.
Deadline : 2021-06-25
(21) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Self-sustained oscillations in nonsmooth dynamical systems
TRIPOP (Inria Grenoble Rhône-Alpes ; Laboratoire Jean Kuntzmann) team is mainly concerned by the modeling, the simulation and the control of nonsmooth dynamical systems. Regrding control, the main instances of nonsmooth dynamical systems are complementarity systems, relay feedback systems, differential inclusions, dynamics variational inequalities, etc. Such systems appear in the modeling of electrical circuits, mechanical systems with unilateral constraints, models from mathematical biology to name afew. The members of the team have a long experience of nonsmooth dynamics modeling and control together with the development of simulation software.
Deadline : 2021-06-25
(22) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Joint embedded speech separation, diarization and recognition for the automatic generation of meeting minutes
The objective of this PhD is to design a system which can jointly address the first three tasks given a single-channel or a multichannel signal and which can be embedded in a device with limited computing power (for example a mobile phone), while being able to compete with current Cloud-based technologies.
Deadline : 2021-06-25
(23) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Multi-factor data augmentation and transfer learning for embedded automatic speech recognition
The hired PhD student will share his/her time between Vivoka’s R&D team and Inria’s Multispeech team. He/she will benefit from the startup spirit of Vivoka, where he/she will interact with other PhD students, interns and researchers hired as part of the partnership and the engineers responsible for integrating their results into the VDK. He/she will also benefit from the skills of the Multispeech team, the largest research team in the field of speech processing in France, and the overall Inria environment.
Deadline : 2021-06-25
(24) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M MICROCARD: code generation for heterogeneous architectures
The recruited PhD candidate will join the INRIA CAMUS team, located at University of Strasbourg in the ICube Laboratory, on the Illkirch Campus very close to Strasbourg.
[S]he will be participating to the R&D of the MICROCARD european project (microcard.eu), specifically developping new solutions in support to Work Package 6: code generation for heterogeneous architectures. [S]he will be supervised by Cédric Bastoul (Prof.), Vincent Loechner (MCF) and Bérenger Bramas (CR), and collaborate with an engineer (also starting in September 2021
Deadline : 2021-06-20
(25) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Distributed storage and indexing for large-scale graph analytics
This PhD position is funded by the ANR AI Chair project SourcesSay and will be jointly supervised by Ioana Manolescu (Senior Researcher at Inria and Professor at Ecole Polytechnique, IPP) and Angelos Anadiotis (Assistant Professor at Ecole Polytechnique, IPP). The successful candidate will be integrated in the CEDAR team.
Deadline : 2021-06-18
(26) PhD Degree – Fully Funded
PhD Program summary/title: PhD Position F/M Hearing the Shape of a Room : Towards Acoustic Super-Resolution
This 3-year thesis is fully funded by the French National Research Agency (ANR) project DENISE: “Tackling hard problems in audio using Data-Efficient Non-linear InverSe mEthods” (2021-2024). DENISE aims to explore the applicability to audio and acoustics of recent breakthroughs in the field of nonlinear inverse problems, and to combine them with compact machine learning models to yield data-efficient techniques.
Deadline : 2021-06-17
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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