Post-Doctoral Research Visit F - M Mobility-Aware Edge Computing For 5G H/F INRIA
- Palaiseau - 91
- CDD
- 12 mois
- Bac +5
- Service public des collectivités territoriales
Les missions du poste
Post-Doctoral Research Visit F/M Mobility-aware Edge Computing for 5G
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD
Niveau de diplôme exigé : Thèse ou équivalent
Fonction : Post-Doctorant
A propos du centre ou de la direction fonctionnelle
The Inria Saclay-Île-de-France Research Centre was established in 2008. IT has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris since 2021.
The centre has 39 project teams, 27 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris. Its activities occupy over 600 scientists and research and innovation support staff, including 54 different nationalities.
Contexte et atouts du poste
A post-doctoral fellowship is available in the Inria TRiBE team at the Saclay Center. This position is funded in the context of the National French PEPR projects on "Networks of the Future" and "Mobility Digitalization". The post-doctoral fellow will collaborate with Dr. Aline C. Viana (https://pages.saclay.inria.fr/aline.viana/) and Nadjib Achir (https://nadach.github.io) from the TRiBE team and Razvan Stanica (http://perso.citi.insa-lyon.fr/rstanica/) from the Inria Agora team.
Mission confiée
A direct consequence of hosting resources in a distributed way at the Edge is their exposure and sensitivity to the heterogeneity, massiveness, and uncertainty in mobility and demands of smart devices, leading to non-optimal edge usage in the long run. We aim to deal with such impacting factors in device behaviors by bringing (i) perceptive and aware mobility/demand quasi-in-time anticipation, (ii) uncertainty handling, and (iii) self-adaptation to device-edge resource management.
In particular, the focus will BE on smart devices, where perceptiveness and awareness of needs and behaviors (where, when, and for what resources are required) of users and applications dictate decision, reaction/action, and allocation/management at the edge. Previous knowledge of TRiBE and AGORA on modeling, uncertainty profiling, interpretative predictability, and personalized anticipation of mobility behaviors [1], [2], [3], [4] as well as of resource demands [5], [6][7] of networking users, will BE leveraged. The first goalwill BE to design a framework for quasi-in-time anticipation of spatial-temporal resource demands.
The second goal will BE the design of perceptive mobility-aware offloading policies and adaptive allocation strategy according to the quasi-in-time anticipation of spatial-temporal resource demands. The quasi-in-time anticipation will limit service interruptions due to networking uncertainties or overload. The third goal concerns the evaluation of the designed framework, policies, and strategies. Besides, the benefits and tradeoffs of decisions that are taken based on quasi-in-time spatiotemporal anticipation of demands will also BE analyzed (e.g., energy or resource loss/gain).
References
[1] D. Do Couto Teixeira, A. Carneiro Viana, J. Marques Almeida, and M.S. Alvim, The Impact of7Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility, ACM Trans-8actions on Spatial Algorithms and Systems, vol. 7, no. 4, June 2021.
[2] D. Do Couto Teixeira, A. Carneiro Viana, J. Marques Almeida. On estimating the predictability of10human mobility : the role of routine. EPJ Data Science, 2021, 10 (1).
[3] L. Amichi, A. C. Viana, M. Crovella, A. A. F Loureiro. Revealing an inherently limiting factor in human12mobility prediction. IEEE Transactions on Emerging Topics in Computing, 2023. In press.
[4] L. Amichi, A. C. Viana, M. Crovella, A. A. F Loureiro. Understanding individuals' proclivity for novelty14seeking. ACM SIGSPATIAL 2020.
[5] Pedro Cruz, Nadjib Achir, Aline Carneiro Viana. On the Edge of the Deployment : A Survey on16Multi-Access Edge Computing. ACM Computing Surveys, 55 (5). 2022.
[6] H. Mazouzi, N. Achir, and K. Boussetta. DM2-ECOP : an efficient computation offloading policy for18multi-user multi-cloudlet mobile edge computing environment. ACM Transaction on Internet Tech-19nology, 20219, 19(2).
[7] H. Mazouzi, K. Boussetta, and N. Achir. Maximizing mobile energy saving through tasks optimal21offloading placement in two-tier cloud : A theoretical and an experimental study. Elsevier Computer22Communication, 144 :132-148, 201
Principales activités
- Literature and code review of the team's previous works and design of the framework for quasi-in-time anticipation of spatial-temporal resource demands
- Design perceptive mobility-aware offloading policies and an adaptive allocation strategy. This design will leverage mobility, resource anticipation, and ML strategies to capture the dynamics of the whole system (user behaviors, application demands, and network conditions).
- Evaluate designed solutions, mainly through emulation tools or experimental platforms, following the recommendations of ETSI MEC architecture to mimic realistic MEC infrastructures.
- Quantify benefits and tradeoffs of quasi-in-time spatiotemporal anticipation on energy, resource usability, network management, etc.
- Analyse performance gains obtained when perceptive-to-needs policies and adaptive allocation strategies are implemented.
Compétences
- A Ph.D. degree in wireless networks, mobile networks, or data-related topics.
- A solid understanding of networking principles, protocols, and architectures is essential.
- Ability to write and debug (student) code in Python is an important requirement.
- Proficiency in programming languages commonly used in AI and networking research.
- Experience with relevant libraries and frameworks is also valuable.
- Ability to design and implement algorithms for solving complex problems.
- Familiarity with optimization techniques.
- Excellent written and verbal communication skills for presenting research findings, writing academic papers, and collaborating with peers.
- The ability to work effectively as part of a research team, collaborate with colleagues from diverse backgrounds, and contribute positively to group dynamics
- A good personal and project management skills are required to function in this multi-disciplinary multi-team project.
Avantages
- Subsidized meals
- Leave : 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
Rémunération
According to profile
Bienvenue chez INRIA
A propos d'Inria
Inria est l'institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l'interface d'autres disciplines. L'institut fait appel à de nombreux talents dans plus d'une quarantaine de métiers différents. 900 personnels d'appui à la recherche et à l'innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.
Localiser le poste
Hellowork a estimé le salaire pour ce métier à Palaiseau
Le recruteur n'a pas communiqué le salaire de cette offre mais Hellowork vous propose une estimation (fourchette variable selon l'expérience).
Estimation basée sur les données INSEE et les offres d’emploi similaires.
Estimation basse
27 500 € / an 2 292 € / mois 15,11 € / heureSalaire brut estimé
37 500 € / an 3 125 € / mois 20,60 € / heureEstimation haute
50 000 € / an 4 167 € / mois 27,47 € / heureCette information vous semble-t-elle utile ?
Merci pour votre retour !
Publiée le 28/08/2025 - Réf : da81f68abebe4a68ed1527d690426065
Post-Doctoral Research Visit F - M Mobility-Aware Edge Computing For 5G H/F
- Palaiseau - 91
- CDD
Créez une alerte
Pour être informé rapidement des nouvelles offres, merci de préciser les critères :
Finalisez votre candidature
sur le site du recruteur
Créez votre compte pour postuler
sur le site du recruteur !
sur le site du recruteur
sur le site du recruteur !
Ces offres pourraient aussi
vous intéresser
Recherches similaires
- Job Enseignant-chercheur
- Job Recherche
- Job Étampes
- Job Dourdan
- Job Massy
- Job Corbeil-Essonnes
- Job Brétigny-sur-Orge
- Job Montgeron
- Job Les Ulis
- Job Draveil
- Job Milly-la-Forêt
- Job Athis-Mons
- Job Technicien bureau d'étude
- Job Chargé de projet
- Job Responsable technique
- Job Responsable de bureau d'études
- Job Technicien d'études de prix
- Entreprises Recherche
- Entreprises Enseignant-chercheur
- Entreprises Palaiseau
- Job Fonction publique
- Job Collectivités
- Job Fonction publique territoriale
- Job Numérique
- Job Centre
- Job Fonction publique Palaiseau
- Job Anglais Palaiseau
- Job Collectivités Palaiseau
- Job Cdd Palaiseau
- Job Fonction publique territoriale Palaiseau
- INRIA Palaiseau
- INRIA Enseignant-chercheur
{{title}}
{{message}}
{{linkLabel}}