Emplois actuels liés à Phd Position F/m Latency-driven Resources Placement - Rennes - Inria
-
PhD Position: Trustworthy AI Hardware Architectures
il y a 3 semaines
Rennes, Bretagne, France INRIA Temps pleinContext and Objectives The increasing demand for Artificial Intelligence (AI) applications deployed at the edge, rather than solely in the cloud, presents both opportunities and challenges. This shift aims to address concerns related to data privacy, bandwidth limitations, energy consumption, and latency requirements, particularly crucial for real-time...
-
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and OpportunitiesThe Odyssey team at INRIA is seeking a PhD researcher to work on numerical ocean dynamics simulation, machine learning, and data assimilation. This project aims to improve our understanding, reconstruction, and forecasting of ocean dynamics by bridging model-driven and observation-driven paradigms.Research FocusThe PhD...
-
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and OpportunitiesThe Odyssey team at INRIA is seeking a PhD researcher to work on numerical ocean dynamics simulation, machine learning, and data assimilation. This project aims to improve our understanding, reconstruction, and forecasting of ocean dynamics by bridging model-driven and observation-driven paradigms.Research FocusThe PhD...
-
PhD Position in Trustworthy AI Hardware Architectures
il y a 4 jours
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and BackgroundAs the demand for Artificial Intelligence (AI) applications grows, there is an increasing need to distribute AI applications from the cloud to edge devices. This trend aims to address issues related to data privacy, bandwidth limitations, power consumption reduction, and low latency requirements. To support this trend,...
-
PhD Position in Trustworthy AI Hardware Architectures
il y a 1 semaine
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and BackgroundAs the demand for Artificial Intelligence (AI) applications continues to grow, there is an increasing need to distribute AI applications from the cloud to edge devices. This trend aims to address issues related to data privacy, bandwidth limitations, power consumption reduction, and low latency requirements, especially...
-
Rennes, France INRIA Temps pleinContexte et atouts du poste Context This PhD will occur in the context of the project Adapting ( from the PEPR AI ( This project focuses on designing adaptive embedded hardware architectures for AI. In this context, our team wants to design new incremental machine learning algorithms that could serve as use cases in the Adapting project for other...
-
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionThis PhD position is part of the META-TOO project, a European initiative that addresses the issue of online misconduct in virtual spaces. The project aims to create a more inclusive and equitable digital world by empowering VR/AR users to deter and address inappropriate behavior.Research TopicsThe PhD student will focus on two main research...
-
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionThis PhD position is part of the META-TOO project, a European initiative that addresses the issue of online misconduct in virtual spaces. The project aims to create a more inclusive and equitable digital world by empowering VR/AR users to deter and address inappropriate behavior.Research TopicsThe PhD student will focus on two main research...
-
Rennes, France INRIA Temps pleinContexte et atouts du poste The Odyssey team is offering a PhD position on numerical ocean dynamics simulation, machine learning and data assimilation. Odyssey (for Ocean DYnamicS obSErvation analYsis) is a recently created team involving researchers from Inria (Rennes, France), Ifremer (Brest) and IMT Atlantique (Brest). Inria is one of the leading...
-
Phd Position F/m Phd Position F/m Interacting with
Il y a 3 mois
Rennes, France Inria Temps pleinLe descriptif de l’offre ci-dessous est en Anglais_ **Type de contrat **:CDD**Niveau de diplôme exigé **:Bac + 5 ou équivalent**Fonction **:Doctorant**Niveau d'expérience souhaité **:Jeune diplôméA propos du centre ou de la direction fonctionnelle The Inria Centre at Rennes University is one of Inria's eight centres and has more than thirty...
-
PhD Position in Ocean Dynamics Simulation and Machine Learning
il y a 1 semaine
Rennes, Bretagne, France INRIA Temps pleinAbout the PositionWe are seeking a highly motivated PhD student to join our team at INRIA, working on numerical ocean dynamics simulation, machine learning, and data assimilation.Research ContextThe Odyssey team is a multidisciplinary group involving researchers from INRIA, Ifremer, and IMT Atlantique. Our expertise encompasses mathematical and numerical...
-
PhD Position in Trustworthy AI Hardware Architectures
il y a 1 jour
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and BackgroundAs AI applications continue to grow in importance, there is a pressing need to ensure their reliability and trustworthiness. This PhD position focuses on the impact of hardware faults on AI decisions and the development of fault-tolerant AI hardware architectures.Research ObjectivesThe goal of this PhD research is to...
-
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to design new incremental machine learning algorithms that can serve as use cases in the Adapting project for other researchers who will focus on the hardware architecture...
-
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionPhD Position in Unconventional AI Accelerator Reliability EnhancementInria Rennes - Bretagne Atlantique Centre is seeking a highly motivated PhD student to work on the reliability enhancement of unconventional AI accelerators. The successful candidate will be part of a research team focused on developing innovative solutions for AI...
-
Rennes, Bretagne, France INRIA Temps pleinContext and ObjectivesThis PhD thesis is part of the NumPEx project, a key national initiative aimed at co-designing the software stack for the exascale era and preparing applications accordingly. The thesis will be co-supervised by Inria and CEA, with collaborations expected within the consortium.Research TeamThe thesis will be hosted by the KerData team at...
-
Phd Position F/m Workflow Provenance and Its
Il y a 3 mois
Rennes, France Inria Temps pleinLe descriptif de l’offre ci-dessous est en Anglais_ **Type de contrat **:CDD **Niveau de diplôme exigé **:Bac + 5 ou équivalent **Autre diplôme apprécié **:Master's degree **Fonction **:Doctorant **A propos du centre ou de la direction fonctionnelle**: The Inria Centre at Rennes University is one of Inria's eight centres and has more than thirty...
-
Phd Position F/m Workflow Provenance and Its
Il y a 3 mois
Rennes, France Inria Temps pleinLe descriptif de l’offre ci-dessous est en Anglais_ **Type de contrat **:CDD **Niveau de diplôme exigé **:Bac + 5 ou équivalent **Autre diplôme apprécié **:Master's degree **Fonction **:Doctorant **A propos du centre ou de la direction fonctionnelle**: The Inria Centre at Rennes University is one of Inria's eight centres and has more than thirty...
-
PhD Position in Exascale Storage Systems Research
il y a 2 semaines
Rennes, Bretagne, France INRIA Temps pleinJob OpportunityWe are seeking a highly motivated and skilled PhD researcher to join our team at INRIA and contribute to the development of innovative solutions for exascale storage systems.About the ProjectThe successful candidate will work on modeling and simulating heterogeneous storage systems to study their behavior, predict their performance, and...
-
PhD Position in Incremental Deep Learning for Embedded Systems
il y a 2 semaines
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and ObjectivesThis PhD position is part of the Adapting project, which focuses on designing adaptive embedded hardware architectures for AI. The goal is to develop new incremental machine learning algorithms that can serve as use cases in the Adapting project.Key ChallengesDesigning resource-efficient incremental learning algorithms...
-
Rennes, Bretagne, France INRIA Temps pleinJob DescriptionContext and Key ResponsibilitiesThis PhD position is part of the META-TOO project, a European initiative that aims to investigate and address gender-based inappropriate social interactions in the Metaverse. The project is a collaboration between three distinguished institutions in Europe: the National Institute for Research in Digital Science...
Phd Position F/m Latency-driven Resources Placement
Il y a 5 mois
Le descriptif de l’offre ci-dessous est en Anglais_
**Type de contrat **:CDD
**Niveau de diplôme exigé **:Bac + 5 ou équivalent
**Fonction **:Doctorant
**A propos du centre ou de la direction fonctionnelle**:
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.
**Mission confiée**:
Cloud computing and its three facets (IaaS, PaaS and SaaS) have become essential in today Internet Applications, offering many advantages such as scalability, elasticity or flexibility. With its different service models, the cloud still faces many issues prone to impact either the end-user (QoS), the provider (Cost) and the environment (Sustainability).
However, evaluating realistic large-scale fog infrastructure constitute a complex task given the cost of deployment and the absence of a realistic view of the real-world deployments. In an IoT context, geo-distributed fog infrastructures mostly rely on SDN approaches [5] that contribute to conceal the networking aspects such as the topology or the routing decisions[8]. In consequence, it appears that the impact of the elasticity of a fog solution is mainly evaluated on the data plane side [4].
The objective of this thesis is to study the optimization of resource placement in Fog-based IoT systems based on latency measurement, by evaluating the control plane cost of a change in the architecture. It will particularly address the problem of how to identify the origin of a latency issue, and based on this finding, propose an optimization that take into account the cost and elasticity of the control plane.
**References**:
[1] Dániel Géhberger, Dávid Balla, Markosz Maliosz, and Csaba Simon. Performance eval
- uation of low latency communication alternatives in a containerized cloud environment. In 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), pages 9-16, 2018.
[2] Devasena Inupakutika, Gerson Rodriguez, David Akopian, Palden Lama, Patricia Chalela, and Amelie G. Ramirez. On the performance of cloud-based mhealth ap
- plications: A methodology on measuring service response time and a case study. IEEE Access, 10:53208-53224, 2022.
[3] Zheng Li and Francisco Millar-Bilbao. Characterizing the cloud’s outbound network latency: An experimental and modeling study. In 2020 IEEE Cloud Summit, pages 172-173, 2020.
[4] Carla Mouradian, Diala Naboulsi, Sami Yangui, Roch H. Glitho, Monique J. Morrow, and Paul A. Polakos. A comprehensive survey on fog computing: State-of-the-art and research challenges. IEEE Communications Surveys and Tutorials, 20(1):416-464, 2018.
[5] Feyza Yildirim Okay and Suat Ozdemir. Routing in fog-enabled iot platforms: A survey and an sdn-based solution. IEEE Internet of Things Journal, 5(6):4871-4889, 2018.
[7] U. Tomer and P. Gandhi. An enhanced software framework for improving qos in iot. Engineering, Technology and Applied Science Research, 12(5):9172-9177, Oct. 2022
[8] Benjamin Warnke, Yuri Cotrado Sehgelmeble, Johann Mantler, Sven Groppe, and Ste
[9] Sami Yangui, Pradeep Ravindran, Ons Bibani, Roch H. Glitho, Nejib Ben Hadj
- Alouane, Monique J. Morrow, and Paul A. Polakos. A platform as-a-service for hy
- brid cloud/fog environments. In 2016 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN), pages 1-7, 2016.
**Principales activités**:
- Explore the State-of-the-Art of the IoT/Fog Emulation/Simulation platform
- Integrate an IoT solution in a Fog architecture platform
- Propose a profile and a classification of latency issues
- Propose an innovative way to optimize a resource placement taking into account the latency metrics and the control plane capabilities
**Compétences**:
- A master degree in distributed systems and/or Cloud computing/Networking
- Good knowledge of distributed systems
- Good programming skills (e.g., C++ and Python)
- Basic knowledge of simulation
- Excellent communication and writing skills in English (Note that knowledge of French is appreciated but not required for this position)
- Knowledge of the following technologies is not mandatory but will be considered as a plus:
- Cloud resource scheduling
- Routing, Software Defined networks
- Revision control systems: git, svn
- Linux distribution: Debian, Ubuntu
**Avantages**:
- Subsidized meals
- Partial reimbursement of public transport costs
- Possibility of teleworking (90 days per year) and flexible organization of working hours
- Partial payment of insurance costs
**Rémunération**:
Monthly gross salary amounting to 2051 euros for the first and second years and 2158 euros for the third year
**Informations générales**:
