Autonomy and reliability enhancement of robot for the observation of submarine ecosystems.

  • Posted on: 13 April 2018
  • By: GODARY_DEJEAN
  • Updated on: 16 April 2018
Type recrutement: 
Sujet de thèse
Section: 
27 (Informatique)
61 (Génie informatique, automatique et traitement du signal)
Entité et lieu: 
Département Robotique, LIRMM, Université Montpellier
Urgent ?: 
oui
Détails: 

Informations :
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PhD title : Autonomy and reliability enhancement of robot for the observation of submarine ecosystems.

This work aims to develop a reliable autonomous underwater robot for the observation of the biodiversity of coastal marine ecosystems. It will focus on monitoring and fault tolerance techniques for underwater robots in the specific context of the submarine environment. It will also deal with the decisional level to achieve complex fully autonomous missions.

The detailed subject is in attachment.
This 3 years PhD grant is offered as part of the I2S graduate school's contest.

The PhD student will be co-directed by Karen Godary-Dejean and Didier Crestani from LIRMM (Explore Robotics team) and Jeremie Guiochet from LAAS (TSF team). He will also works in closed collaboration with marine biologists (Sebastien Villéger and Thomas Claverie from MARBEC).

Contacts: karen.godary-dejean@lirmm.fr and jeremie.guiochet@laas.fr

Requirements:
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- A passion for robotics, mathematics, programming and abstract thinking,
- Excellent written and spoken English and/or French skills,
- A Master degree in computer engineering/science, robotics, or related fields,
- Excellent academic track record,
- Experience with programming (C, C++, Matlab, C++..)
- Scientific curiosity and large autonomy are also expected.

 

Procedure:
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PhD starting Date: October 2018
Application deadline: The evaluation of the candidates starts immediately. The selection of candidates for the competition will be made no later than mid-May. The contest will take place in early June.

Interested candidates must send to karen.godary-dejean@lirmm.fr and jeremie.guiochet@laas.fr the following material :
- a motivation letter with any relevant information for proving a good match with the description of the activities and expected profile of the candidates
- a detailed CV
- name of at least two referees
- results in Master1 and Master2 or engineering school.