herve.illy at renault.com
Thu Sep 8 23:52:03 PDT 2016
The U2IS laboratory at ENSTA ParisTech, Palaiseau, France and the carmaker Renault are currently looking for a highly motivated PhD student to work on the development of multi-sensor data fusion algorithms for perception in autonomous vehicles. Both teams are collaborating on autonomous driving in realistic environments with the aim to improve existing approaches and extend algorithms for level 4 NHTSA automation of the vehicle. Further information will be provided upon request to candidates who have submitted an application. For examples of previous work, potential candidates may refer to:
- Armand A., Filliat D., Ibanez-Guzman J., 2014, Ontology-Based Context Awareness for Driving Assistance Systems, IV'14, pp. 1-6, 2014
- Lamard L., Chapuis R., Boyer J.-Ph., 2013, Multi target tracking with CPHD filter based on asynchronous sensors, FUSION 2013, pp. 892-898
The ideal candidate should hold a MSc in a related discipline, obtained not earlier than 30 months ago. We are looking for candidates with strong analytical skills and creativity, as well as knowledge in Computer Vision, Machine Learning, perception technologies and robotics. The candidate must have experience in software development in C++ and Linux. The PhD candidate shall be capable of working autonomously on assigned tasks. Team work is crucial as it is the capability to perform experiments with an equipped experimental car. Familiarity with OpenCV and PCL libraries will be appreciated. Experience using the Robotics library ROS and fluency in English will be an advantage.
Applicants should send by email a single PDF document with :
. A one page cover letter describing their background and motivations.
. Curriculum Vitae.
. Publication list.
. Contact information of at least one referee.
The position is to be filled as soon as possible and applications should be sent before November 1st to herve.illy at renault.com<mailto:herve.illy at renault.com>
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