These Cifre: Multi-sensor Fusion On Embedded Devices
NXP
Sophia, , France
Hybrid
Proficiency in python and c/c++
Experience with deep learning frameworks
Understanding of sensor technologies
This PhD project is a collaboration between Inria’s ACENTAURI research team and NXP Semiconductors’ Vision Technology Engineering Center, focusing on advanced robotics and AI for embedded systems
Job Summary
This PhD project is a collaboration between Inria’s ACENTAURI research team and NXP Semiconductors’ Vision Technology Engineering Center, focusing on advanced robotics and AI for embedded systems.
The candidate will develop adaptive fusion frameworks for heterogeneous sensors, addressing real-world challenges such as environmental variability and embedded constraints like latency and energy consumption.
The project includes benchmarking, deployment on real-world use cases, and aims for publication in top-tier robotics and computer vision conferences and journals.
Matching Summary
This PhD project is a collaboration between Inria’s ACENTAURI research team and NXP Semiconductors’ Vision Technology Engineering Center, focusing on advanced robotics and AI for embedded systems.
Skills & Requirements
Must-have
Proficiency in Python and C/C++
Experience with deep learning frameworks
Understanding of sensor technologies
Software development on Linux
Multi-sensor perception algorithms
Nice-to-have
Familiarity with embedded systems programming
Hardware-aware programming experience
Uncertainty estimation in sensor fusion
Scientific curiosity and autonomy
Multidisciplinary teamwork skills
Key Requirements
Strong academic background in Computer Science or related field
Solid foundations in mathematics and algorithmic thinking