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PhD position - Participatory localization of connected objects through deep learning techniques
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JOB DETAILS
Published: 3 months ago
Application deadline: Oct 31
Location: Grenoble, France
Please mention that you found this job on Academic Positions when applying.
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PhD position - Participatory localization of connected objects through deep learning techniques

SL-DRT-18-0806

RESEARCH FIELD

Mathematics - Numerical analysis - Simulation

ABSTRACT

Conventional localization methods based on low-cost and low-complexity wireless communication standards (e.g., Long Range - IoT Lora or Sigfox systems, WiFi/BT-LE) can provide a positioning accuracy level (respectively, 500m to 1km in outdoor, 5m to 10m in indoor) that is not suitable to the needs of emerging applications, such as geo-referencing of the data produced by mobile IoT sensor nodes, or smartphone-based pedestrian navigation in public areas or office buildings.In the frame of these PhD investigations, we thus propose to rely on Artificial Intelligence on the one hand (typically, on deep learning techniques), as well as on advanced management/representation methods adapted to spatialized data on the other hand, so as to improve localization performance, while relaxing underlying technological specifications (more particularly, in terms of wireless transmission capabilities). The idea is to learn (over both space and time) and to fuse multi-parameter maps, benefitting not only from radio metrics notoriously ill-adapted to localization (e.g., received power, packet error rate...) and contributed in a participatory way by the different mobile agents on the field, but also from other available modalities depending on the application context (e.g., prior road network map/building layout, physical environmental measurements such as ambient sound, embedded inertial units, etc...).

LOCATION

Département Systèmes

Laboratoire Communication des Objets Intelligents

Grenoble

CONTACT PERSON

DENIS Benoît

CEA

DRT/DSIS/STSF/LCOI

CEA-Leti MinatecBât. 51D, p. D44017, rue des Martyrs38054 Grenoble Cedex 9France

Phone number: (+33)(0)4 38 78 09 90

Email: benoit.denis@cea.fr

UNIVERSITY / GRADUATE SCHOOL

Université Grenoble Alpes

Electronique, Electrotechnique, Automatique, Traitement du Signal (EEATS)

FIND OUT MORE

https://www.linkedin.com/in/benoitdenisCEA/

https://www.minatec.com/

START DATE

Start date on 01-10-2018

THESIS SUPERVISOR

COUILLET Romain

CentraleSupélec, Univ. Paris-Saclay et Univ. Grenoble-Alpes

L2S (CentraleSupélec) et CICS (GIPSA-Lab)

CentraleSupélec, 3 rue Joliot Curie, 91192 Gif-sur-Yvette, France et GIPSA-Lab, 11 Rue des Mathématiques, Grenoble Campus - BP 46, 38400 Saint-Martin-d'Hères, France

Phone number: 0169851436

Email: romain.couillet@centralesupelec.fr

« The age limit is 26 years for PhD offers and 30 years old for post-doc offers. »

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