Offre de Thèse Informatique Chaire E2S OpenCEMS

Contexte de recrutement :

Ce recrutement s’inscrit dans le cadre de la chaire Connected Environment & Distributed Energy Data Management Solutions (OpenCEMS). La plateforme logicielle en cours de développement permet de représenter et d’analyser (prédiction, anomalie, etc.) un environnement connecté statique (composé de plusieurs entités fixes). Le/la post-doctorant(e) à recruter va travailler sur la représentation et l’intégration dans la plateforme OpenCEMS de la mobilité spatio-temporelle des entités hétérogènes dans les environnements connectés. Il/elle va également participer à la conception d’un environnement de simulation pour cette mobilité.

Profil recherché :

The Connected Environment & Distributed Energy Data Management Solutions (OpenCEMS) industrial chair addresses the issues that businesses and communities encounter when handling energy management in their working/connected environments. The OpenCEMS research group aims at reducing the gap between various actors (e.g., students, companies, professionals) and the energy management issues and challenges. Its aim is to design, implement and deploy software solutions within Small and Large Scale Distributed/Connected Environments for better data collection/aggregation, information retrieval, and knowledge extraction. To achieve its objectives, OpenCEMS is developing an open framework capable of scaling and optimizing power grid operations.

The global objective of this postdoctoral fellowship is the design and implementation of the following modules in the existing OpenCEMS platform: (i) Smart mobility module that simulates the intelligent mobility of objects in a real and simulation world; (ii) Smart communication module including peer-to-peer, self-forming and ad-hoc networks characterized by highly dynamic and autonomous topology, and (iii) Data analysis module based on machine learning, deep learning and reinforcement learning techniques.

Instructions pour poser sa candidature :

  • Please send your applications (in PDF format) to the following contacts: [email protected] [email protected]
    The application (written in English) should include:
    • A Curriculum Vitae (including your contact address, work experience, publications, software repositories)
    • A cover letter

Deadline for applications: October 1st 2020.

Start date: December 1st, 2020 (negotiable)

Screening of applications starts immediately and will continue until a candidate is selected. Therefore, early applications are encouraged


  1. Elio Mansour, Richard Chbeir, Philippe Arnould: HSSN: an ontology for hybrid semantic sensor networks. IDEAS 2019: 8:1-8:10
  2. Sabri Allani, Richard Chbeir, Khouloud Salameh: Towards Better Data Management/Gathering in Connected Environments. Q2SWinet 2019: 53-59
  3. Khouloud Salameh, Richard Chbeir, Haritza Camblong: SSG: An Ontology-Based Information Model for Smart Grids. T. Large-Scale Data- and Knowledge-Centered Systems 40: 94-124 (2019)
  4. Lara Kallab, Richard Chbeir, Michael Mrissa: Automatic K-Resources Discovery for Hybrid Web Connected Environments. ICWS 2019: 146-153
  5. Lara Kallab, Michael Mrissa, Richard Chbeir, Pierre Bourreau: Using Colored Petri Nets for Verifying RESTful Service Composition. OTM Conferences (1) 2017: 505-523
  6. Chinnapong Angsuchotmetee, Richard Chbeir, Yudith Cardinale, Shohei Yokoyama: A pipelining-based framework for processing events in multimedia sensor networks.framework for processing events in multimedia sensor networks. SAC 2018: 247-250
  7. Chinnapong Angsuchotmetee, Richard Chbeir, Yudith Cardinale, Shohei Yokoyama A dynamic event detection framework for multimedia sensor networks. APCC 2017:1-6
  8. Elio Mansour, Richard Chbeir, Philippe Arnould: EQL-CE: an event query language for connected environments. IDEAS 2019: 7:1-7:10
  9. Elio Mansour, Richard Chbeir, Philippe Arnould: EQL-CE: An Event Query Language for Connected Environment Management. Q2SWinet 2019: 43-51
  10. Khouloud Salameh, Richard Chbeir, Haritza Camblong, Ionel Vechiu: A Digital Ecosystem Cooperative Model: An Application on Microgrids. T-SUSC 3(4): 221-235 (2018)