Vacancy Edu

42 Fully Funded PhD Position at National Research Institute (Inria), France

42 Fully Funded PhD Position at National Research Institute

(Inria), France

 

French National Research Institute (Inria), France invites online Application for number of  Fully Funded PhD Position at various Departments. We are providing a list of Fully Funded PhD Position available at French National Research Institute (Inria), France.

Eligible candidate may Apply as soon as possible.

 

(01) Fully Funded PhD Position

PhD position summary/title: 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.

Deadline of PhD Position: 2021-09-01

View details

 

(02) Fully Funded PhD Position

PhD position summary/title: Advanced numerical schemes to understand SeismoElectric Effects and improve the characterization of geological reservoirs.

The objective of the thesis is to design an imaging technique based on SEE and to develop an imaging software on top of our direct simulation tool. In Luo et al. (2009) and Zhu et al. (2009), the authors show how an impedance kernel based on seismic signal measurements, can be used to generate an image of the subsurface and help identify material discontinuities and salt dome boundaries. This firstorder, direct use of seismic Fréchet derivatives is closely related to the popular imaging principle introduced by Claerbout (1971) in exploration geophysics.

Deadline of PhD Position: 2021-08-31

View details

 

(03) Fully Funded PhD Position

PhD position summary/title: Dynamic Steady-State Scheduling for Inference and Training in Deep Neural Networks on Heterogeneous Resource.

The PhD thesis is funded by the European H2020 EuroHPC project TEXTAROSSA: to achieve high performance and high energy efficiency on near-future exascale computing systems, a technology gap needs to be bridged: increase efficiency of computation with extreme efficiency in HW and new arithmetics, as well as providing methods and tools for seamless integration of reconfigurable accelerators in heterogeneous HPC multi-node platforms. TEXTAROSSA aims at tackling this gap through applying a co-design approach to heterogeneous HPC solutions, for HPC, AI and HPDA applications.

Deadline of PhD Position: 2021-07-31

View details

 

View All Fully Funded PhD Positions Click Here

 

(04) Fully Funded PhD Position

PhD position summary/title: DISTRIBUTED AND TRUSTED WEB OF FORMAL PROOFS.

The high-level goals of this project have been described in the paper [DM20]. 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. 

Deadline of PhD Position: 2021-05-31

View details

 

(05) Fully Funded PhD Position

PhD position summary/title: Energy-aware execution model in intermittent systems.

The objective of the thesis will be to define an energy-aware execution model for transient computing. The definition of the execution model will encompass the definition of the appropriate abstractions for transient computing and the definition of associated compiler and run-time support. The execution model will extend well-established standards used in embedded real-time systems

Deadline of PhD Position: 2021-05-21

View details

 

(06) Fully Funded PhD Position

PhD position summary/title: Mapping the fMRI pipeline-space towards more robust pipelines.

The goal of this thesis is to build a “map” of the neuroimaging pipeline-space that will be used to investigate one or more of the following challenges: 1) Pipeline debugging; 2) Identify when pipelines suffer from violations of their underlying assumptions; 3) Eliminate unsuitable pipelines given an input dataset.

Deadline of PhD Position: 2021-05-16

View details

 

(07) Fully Funded PhD Position

PhD position summary/title: Hint-typing, optimistic compilation of Dynamic Languages.

The subject of this Phd thesis is to explore new typing disciplines such as the so-coined hint typing [8] or unsound types as used in TypeScript [7] to let AOT compilers of dynamic languages optimize the optimistic code generation.

Deadline of PhD Position: 2021-05-15

View details

 

 

(08) Fully Funded PhD Position

PhD position summary/title: Leveraging the wealth of available data for network monitoring and troubleshooting.

In this thesis we want to explore a new approach consisting in leveraging the wealth of data available in the end user device as a result of her/his normal activity (passive traffic captures) and from passive measurements collected freely inside his device. These data, collected at almost no cost, is shaped according to what is going on inside the network, in the device of the user, and on the other side of the service provider. For example, a congestion will result in an increase in the packet delay, the loss rate of packets and a drop in the network throughput. Wireless problems result in almost the same behaviour.

Deadline of PhD Position: 2021-05-15

View details

 

Click here to know “How to Write an Effective Cover Letter”

 

(09) Fully Funded PhD Position

PhD position summary/title: 

Deadline of PhD Position: Open Until Filled

View details

 

(10) Fully Funded PhD Position

PhD position summary/title: New distributed methods for solving large Markov chains.

In this project you will develop and analyse a new class of methods for computing stationary distribution of general large Markov chains. These methods converge much faster than the current state-of-the art, and allow for distributed implementation.

Deadline of PhD Position: 2021-05-15

View details

 

(11) Fully Funded PhD Position

PhD position summary/title: Augmenting the interaction with everyday objects with wearable haptics and Augmented Reality.

The objective of this Ph.D. is to study how we can improve the interaction with augmented reality environments by taking the best of two simple haptic solutions: tangible objects and wearable haptics. Tangible objects will simulate the global and distributed shape/percept of the virtual/augmented object, while wearable haptics will dynamically change its mechanical properties.

Deadline of PhD Position: 2021-05-14

View details

 

(12) Fully Funded PhD Position

PhD position summary/title: Time-Accurate Network Simulation Interconnecting VMs with Hardware Virtualization towards stealth analysis.

The goal of the TANSIVTx project is twofold. First, we should extend TANSIV to hardware- assisted virtualization, for which we must design solutions to precisely control the progression of time. Second, the added precise yet decoupled control of time may interfere with the time

Deadline of PhD Position: 2021-05-14

View details

 

(13) Fully Funded PhD Position

PhD position summary/title: Smart Building of Software Variants.

The goal of this thesis is to develop what we call incremental build of configurations. Given a base configuration, we want to modify it (through the re-setting of some options values) and then build it without starting from scratch. Similarly, we aim to build a given set of configurations without starting from scratch each time. The promise is to dramatically reduce the cost of building software, a stressing topic when you think about the environmental and financial costs that companies and public organizations should have to bear.

Deadline of PhD Position: 2021-05-11

View details

 

(14) Fully Funded PhD Position

PhD position summary/title: Understanding and modelling nonlinear mechanisms in the ocean: internal waves / background flow interactions.

In this thesis, these nonlinear interactions will be studied mainly using simplified models of ocean dynamics such as the Rotating Shallow Water model. In particular, we will seek to understand (1) how balanced turbulence affects the propagation of internal waves in the ocean, (2) how these effects can be represented in a simplified formulation of ocean dynamics, and (3) how predictive models can be obtained from this representation

Deadline of PhD Position: 2021-04-30

View details

 

(15) Fully Funded PhD Position

PhD position summary/title: Spherical light field representation and reconstruction from omni-directional imagery.

The research questions are the following

  • Setting an omnidirectional capture process able to generate parallax while keeping the 360 field of view
  • Estimating the 360 depth map from the parallax and from the specific spherical camera geometry
  • Building virtual view synthesis algorithms to enable 6DOF navigation in the Scene

Deadline of PhD Position:  2021-04-30

View details

 

View All Postdoctoral Positions Click Here

 

(16) Fully Funded PhD Position

PhD position summary/title: Sensing and reconstruction of plenoptic point clouds.

The proposed research is at the intersection between computer vision, signal processing and computer graphics. The project will address the following questions:

  • How to exploit full light field data to separate diffuse and specular scene components?
  • How to estimate depth with scenes having diverse surface materials and complex lighting conditions
  • How to construct plenoptic point cloud and surface light field representations, from real captures, in which the color of each point in the point cloud is a function of the viewing direction?

Deadline of PhD Position: 2021-04-30

View details

 

(17) Fully Funded PhD Position

PhD position summary/title: Learning algorithms for inverse problems with new imaging modalities.

In the framework of a Marie Curie European project called Plenoptima, the objective is to develop learning algorithms for solving inverse problems in computer vision with novel imaging modalities. Inverse Problems refer to a broad class of problems encountered in many scientific disciplines, from natural and life sciences to engineering. The inverse problems that we will target are denoising, de-blurring, super-resolution, view synthesis, and blind source separation (e.g. separation of specular and diffuse components of a scene).

Deadline of PhD Position: 2021-04-30

View details

 

(18) Fully Funded PhD Position

PhD position summary/title: Localization schemes in urban environments using new wireless technologies.

The objective of this thesis is to study an architecture making it possible to build trustworthy information (in particular based on the quality of the localization according to the targeted context), from multi-source information provided by the lower layers of communication standards.

Deadline of PhD Position: 2021-04-30

View details

 

(19) Fully Funded PhD Position

PhD position summary/title: Algebraic Loop Optimizations.

In the field of automatic program optimization, iterative structures, or loops, are important targets, since they represent a significant part of the total execution time. This is the reason why many loop optimizing transformations have been proposed to make them faster. Such transformations are mostly addressing loop parallelization and the improvement of temporal and spatial data localities. They usually apply to a set of nested loops, called a loop nest. Examples of transformations are loop interchange, loop fusion or loop tiling.

Deadline of PhD Position: 2021-04-30

View details

 

(20) Fully Funded PhD Position

PhD position summary/title: A toolbox for hyperbolic surfaces.

The purpose of this PhD is to explore the geometry of hyperbolic surfaces and provide such a geometric toolbox.

Deadline of PhD Position: 2021-04-30

View details

 

(21) Fully Funded PhD Position

PhD position summary/title: Computational complexity of reversible computations and applications to quantum programming.

This PhD project aims at studying the complexity properties of reversible computations. To that purpose, a particular attention will be paid to the following tasks:

  1. Design a framework allowing the time complexity analysis of reversible programs.
  2. Characterize and study reversible fragments of standard complexity classes.
  3. Extend the analysis to space complexity and subpolynomial and circuit-based complexity classes.

Deadline of PhD Position: 2021-04-30

View details

 

(22) Fully Funded PhD Position

PhD position summary/title: Automatic vectorization of static kernels.

The project aims at studying auto vectorization with a focus on static kernels. We expect to apply graph transformations on graphs of scalar elements. The main objective of the conducted research is to improve the performance of real numerical kernels that are usually not vectorized by the compiler. This will therefore require working on the optimization layer of a compiler, vectorization and HPC.

Deadline of PhD Position: 2021-04-30

View details

 

(23) Fully Funded PhD Position

PhD position summary/title: Dynamic resource allocation for FaaS applications in the fog.

The PhD student will work in the MYRIADS team, part of IRISA and Inria Rennes – Bretagne Atlantique. The team focuses on building next generation utility computing platforms for highly distributed cloud and fog infrastructures (http://www.irisa.fr/myriads). Rennes is the capital city of Brittany, in the western part of France. It is a lively city and a major center for higher education and research. Rennes is easy to reach thanks to a high-speed train line to Paris.

Deadline of PhD Position: 2021-04-30

View details

 

(24) Fully Funded PhD Position

PhD position summary/title: Reusable and Adaptable Machine Learning for Network Security

The PhD 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.

Deadline of PhD Position: 2021-04-30

View details

 

(25) Fully Funded PhD Position

PhD position summary/title: Robust and Generalizable Deep Learning-based Audio-visual Speech Enhancement.

The PhD thesis will be jointly supervised by Mostafa Sadeghi (Inria Starting Faculty Position) and Romain Serizel (Associate Professor, Université de Lorraine).

Deadline of PhD Position: 2021-04-25

View details

 

(26) Fully Funded PhD Position

PhD position summary/title: Communication Protocols based on alternative paradigm for wireless mobile devices 

The objective of this thesis is to focus on both traditional wireless communication and alternative communication paradigm such as VLC and study the new security issues and new potentiality the co-existence and interaction of these different paradigms arise.

Deadline of PhD Position: 2021-04-25

View details

 

(27) Fully Funded PhD Position

PhD position summary/title: Design of a novel context aware opportunistic forwarding strategy

Successful candidate will work on the design and evaluation of a novel context-aware data forwarding strategy in wireless opportunistic networks. In particular, the novel protocol should take into consideration in the forwarding decision the environmental dynamics and heterogeneity of devices in terms of mobility features, external unexpected events (weather of traffic conditions, etc) and hardware constraints but also the content requirements.

Deadline of PhD Position: 2021-04-25

View details

 

(28) Fully Funded PhD Position

PhD position summary/title: Quantum-assisted optimization.

Study of quantum-based metaheuristics. Quantum metaheuristics are approximate algorithms designed to impact both metrics, running time, and performance, since they will be executed by a quantum computer. However, quantum-inspired metaheuristics were designed to run in classical computers that simulating phenomena of quantum physics like superposition and entanglement allow us to explore quantum programming and predict future behaviour and results.

Deadline of PhD Position: 2021-04-25

View details

 

(29) Fully Funded PhD Position

PhD position summary/title: Trading-off Fairness, Privacy, and Utility in Machine Learning.

The research will be conducted in the MAGNET team. The main objective of the team is to develop ethically acceptable machine learning algorithms focusing on privacy and fairness and to empower end users of artificial intelligence. The PhD candidate will be under the supervision of Michaël Perrot, who is currently working on the problem of fair machine learning, and Marc Tommasi, who has been working on privacy preserving machine learning for several years.

Deadline of PhD Position: 2021-04-25

View details

 

(30) Fully Funded PhD Position

PhD position summary/title: Robot navigation in uncertain environment via AI & Control

In this thesis it is planned to focus on the problem of trajectory planning for a mobile robot in the scenarios described above. First, it is necessary to look for admissible models for other agents in different cases (humans, robots, cars), for methods for their robust estimation and identification. Second, robust predictors and observers have to be designed for the localization of other participants. Third, the path-planning algorithms have to be synthesized (the principal objective), which have to navigate a robot in selected scenarios. 

Deadline of PhD Position: 2021-04-25

View details

 

(31) Fully Funded PhD Position

PhD position summary/title: Explainable Data Processing through Knowledge Compilation

The goal of this thesis is then twofold. First, the candidate will explore new ways into which knowledge compilation can help explain the decisions of AI algorithms, for instance by designing new relevant interpretability queries or developing new knowledge compilation algorithms. Second, they will investigate how knowledge  compilation could be used for explainability in the context of relational databases. Results of both theoretical and practical nature are to be expected.

Deadline of PhD Position: 2021-04-25

View details

 

(32) Fully Funded PhD Position

PhD position summary/title: Management of Massive Access IoT Communication Networks

The candidate will join the Maracas research group which includes 5 permanent researchers or professors, 7 PhD students and 2 postdoc researchers. Maracas aims at studying Computing Networks from a communication point of view, using the foundations of information theory in association with other theoretical tools related to estimation theory and probability theory.

Deadline of PhD Position: 2021-04-23

View details

 

(33) Fully Funded PhD Position

PhD position summary/title: Massive Privacy-Preserving Decentralized Machine Learning via Privacy Amplification

The PhD student will be supervised by Aurélien Bellet, an Inria researcher in the Magnet project-team. Magnet is a research team that carries out research in Machine Learning in Information Networks, with an important focus on Natural Language Processing, Machine Learning under Privacy and Fairness Constraints, and Decentralized Learning.

Deadline of PhD Position: 2021-04-20

View details

 

(34) Fully Funded PhD Position

PhD position summary/title: A Tracable Revocable Private Data Platform

The PhD will work on

• Identification of key scenarios extracted from real life case studies. We will contact the partners mentioned in the next section.

• State of the art on revocation, capability, ownership, and support for RGPD.

• Identify scenarios with sensible data and complex multi player multi access rights.

• Evaluate first class instance variables and how they can contribute to the design of facetted data.

• Explore design of object-oriented languages supporting smart data (origin, history,…).

• Identify a minimal change algebra supporting smart data properties.

• Design an architecture to support the execution of such platform.

• Access the proposed solution on the light of scalability issues.

Deadline of PhD Position: 2021-04-20

View details

 

(35) Fully Funded PhD Position

PhD position summary/title: Embodied intelligence and mechanical modeling of soft robots using AI 

Deadline of PhD Position: 2021-04-20

View details

 

(36) Fully Funded PhD Position

PhD position summary/title: Methodology for enhanced and adapted neurofeedback trainings

The project lies at the interface of signal and image processing, behavioural neuroscience and neurofeedback. Neurofeedback approaches (NF) (see [7] for a complete and actual introduction), also known as restorative brain-computer interface (restorative BCI), consist in providing real-time feedback to a patient about his or her own brain activity in order to learn how self-regulate specific brain regions and help him or her perform a given task.

Deadline of PhD Position: 2021-04-18

View details

 

(37) Fully Funded PhD Position

PhD position summary/title: High-Performance Data Management for Precision Agriculture

This PhD thesis will focus on an in-memory tier for distributed data management across nodes hosting ephemeral storage resources, called Datanodes. For that purpose, this research track could be built on Damaris [4,5,6] (a mature KerData project) that leverages various storage capabilities to provide scalable asynchronous I/O and non-intrusive in-situ and in-transit data processing on the Datanodes. Emphasis will be put on exploring data aggregation algorithms [7] coupled with new techniques for hybrid (both stream-based and batch-based) in-transit data analysis on shared datanodes. This research will be implemented and tested in Damaris to support workflows and Big Data analytics.

Deadline of PhD Position: 2021-04-18

View details

 

(38) Fully Funded PhD Position

PhD position summary/title: Efficient geo-distributed data stream processing

The objective of this thesis is to propose alternative implementations to deliver maximum processing efficiency in a fog computing environment. This will require the PhD student to identify the main sources of inefficiency and to propose alternative techniques. For example, stream processing engines introduce a variety of stateless or stateful operators to transform one or more input streams in one or more output streams

Deadline of PhD Position: 2021-04-15

View details

 

(39) Fully Funded PhD Position

PhD position summary/title: Decentralized control in large-scale fog computing infrastructures

The objective of this thesis is to study how the control functions of a fog computing can be decentralized and how a fog platform may be composed of large numbers of independent sub-systems that are potentially owned by independent entities. This will require the PhD student to list all the centralized control functions in a large-scale infrastructure such as Kubernetes, identify the most critical ones, and devise distributed or decentralized algorithms to re-design their organization in a more scalable and resilient manner. One interesting direction to address this problem — which remains to be (in)validated by the doctoral student is to design collaborative yet independent sub-systems which autonomously organize themselves to provide the required functions based on the principles of peer-to-peer overlays.

Deadline of PhD Position: 2021-04-15

View details

 

(40) Fully Funded PhD Position

PhD position summary/title: Bridging Supercomputers and Clouds at the Exascale Era Through Elastic Storage

The PhD position is mainly based in Rennes, at IRISA/Inria within the KerData research team. The selected candidate will have the opportunity to join a very dynamic group in a stimulating work environment with a lot of active national, European and international collaborations as part of cutting-edge international projects in the areas of Exascale Computing, Cloud Computing, Big Data and Artificial Intelligence. The candidate is also expected to be hosted for 3-6 month internships abroad to strengthen the international visibility of his/her work and benefit from the expertise of other researchers in the field.

Deadline of PhD Position: 2021-04-10

View details

 

(41) Fully Funded PhD Position

PhD position summary/title: Privacy-preserving methods for medical research

The recruited collaborator will perform research at a PhD student level, preparing a PhD thesis, following doctoral training at the EDSPI, and contributing to realizing the objectives of the PMR project. 

Deadline of PhD Position: 2021-04-10

View details

 

(42) Fully Funded PhD Position

PhD position summary/title: Reduced modeling for PDE using deep learning

The subject is part of the construction of so-called scale models for plasma physics. The classical model is the Vlasov-Maxwell model which is very expensive to solve because it is dimension 6 and strongly multi-scale (we speak of strongly oscillating equation). One of the solutions is to build asymptotic models on the slow scale by taking the limit associated with certain small parameters which tend towards zero. 

Deadline of PhD Position: 2021-04-08

View details

 

 

About National Research Institute (Inria) – Official Website

Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

 

Disclaimer: We try to ensure that the information we post on VacancyEdu.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.

 

Related Posts

 

Leave a Comment