[robotics-worldwide] [jobs] Open Post-Doc position available at INRIA (Chroma team) and TOYOTA on Advanced Perception and Sensor Fusion for Autonomous Cars
A one year (re-newable) Post-Doc position is available at Inria Grenoble
Rhône-Alpes (France) in the scope of the long-term (9 years) Inria-Toyota
cooperation on autonomous driving. We are looking for a highly motivated
post-doctoral researcher interested in computer vision and perception for
and autonomous vehicles.
The research work has to be conducted within the Inria Chroma Team (at
Inria Grenoble, France), in tight collaboration with Toyota Motor Europe in
Brussels (using visio-conferences and occasional trips to Toyota Europe’s
offices in Brussels). The experimental validation of the research work will
be conducted using the Inria-Toyota equipped Toyota Lexus vehicle located
at Inria Grenoble.
The proposed work shall focus on the development of models and methods to
fuse multi-modal information from the kind of sensors that will equip
tomorrow’s vehicles. The main objective of the project is to improve and
extend upon existing methods for image-based optimization and grid-based
sensor fusion in order to adapt them to work in the very challenging
conditions that are often found in
real driving scenarios. The candidate will build upon a set of published
and/or patented technologies developed by our team during our 9-year
collaboration with Toyota. A first Inria-TME patent has been filed in
December 2016, and a complementary one is expected by the end of the
- PhD in Computer Vision, Robotics Perception, Machine Learning or closely
- Good academic track record with publications
- Good English skills, written and spoken
- Strong background in one of the following: Robotics, Computer Vision,
Sensor Fusion, Scene Understanding
- Good skills in C++ skills and/or Python and Linux
- Skill to analyze and improve algorithms, in particular in optimization
for computer vision (e.g. Semantic segmentation, depth reconstruction,
The following qualifications would be an advantage:
- Familiarity with state-of-the-art deep learning methods
- Familiarity with CUDA and Boost libraries
- Experience using the Robotics library ROS
- Ability to work as a teammate with other researchers
Application process and agenda:
The position is to be fulfilled as soon as possible, ideally in May 1st or
June 1st 2017. Applications can be sent immediately and will continue to be
evaluated until the position is taken. The initial term is one year, with a
possible extension depending on performance.
Applicants should submit:
- A one page cover letter describing their background and motivations.
- Curriculum Vitae with Publication list.
- Contact information of two referees and their recommendation letters.