[robotics-worldwide] [jobs] PhD opening in France at LIRMM on H2020 Project VERSATILE
andrea.cherubini at lirmm.fr
Mon Oct 24 02:41:38 PDT 2016
In the context of the recently accepted H2020 Project VERSATILE, we have an opening for a fully funded PhD position.
The PhD will be based at LIRMM in Montpellier, France.
The subject of the PhD will be "Multimodal control of a cooperative industrial robot (dual arm mobile manipulator)".
Location: LIRMM Laboratory in Montpellier, France
PhD Supervisors: Andrea Cherubini (University of Montpellier Ass. Professor), André Crosnier (University of Montpellier Full Professor), Philippe Fraisse (University of Montpellier Full Professor)
Start Date: Jan 4th, 2016
*** THE VERSATILE PROJECT ***
The H2020 VERSATILE Project will provide a bridge, for transferring the latest R&D results in robotics, towards inherently different industrial sectors. By providing the tools to quickly setup, program and operate innovative robotic systems, the end users will have more flexibility to vary their capacity for accommodating fluctuating markets, and for increasing their products range.
In the context that the robot is inherently flexible, and can further enhance its capabilities through the use of perception technologies currently available only in laboratories, VERSATILE aspires to take the leap towards demonstrating and validating the maturity of such technologies in industrial operational environments.
*** BACKGROUND AND EXPECTED SKILLS ***
- MSc or equivalent in Robotics, Control Systems, Computer Science, Mechanical Engineering, Electronic Engineering, or closely related field
- Excellent academic track record
- Excellent programming skills (C, C++, Linux, Matlab)
- Excellent analytical skills & Critical thinking
- Very good English skills, written and spoken
- Above average Team & Communication skills- Self-motivation!
The candidate should have good knowledge of control and signal processing. Knowledge to use will be adapted based on the evolution of the thesis, but a good starting point would be: sensor-based control (e.g., visual and force control), state representation and state feedback control, observers (Kalman, etc.) synthesis, noise filtering. Of course, some of these skills may be acquired during the thesis through training.
Not required but beneficial:
- Previous research experience and publications
- Rankings in engineering/science competitions
- Hands-on experience with robotic platforms, robotic software frameworks, and sensors (in particular, monocular vision, force/haptic sensors, IMU)
*** APPLICATION PACKAGE ***
Interested candidates should submit *ASAP* the following by email in a single PDF file to andrea.cherubini at lirmm.fr
1. Curriculum vitae
2. A letter of motivation (including summary of research background and interests)
Optionally: A summary (maximum 3 pages!) of published scientific papers, undergraduate project reports, semester papers or anything else showing ability for scientific work and writing.
Associate Professor - MCF
Responsable Master Robotique
LIRMM / Université de Montpellier
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