These Cifre: Multi-sensor Fusion On Embedded Devices
NXP Semiconductors
Sophia, France
On-site
Python, c/c++, git, linux
Deep learning framework (pytorch, tensorflow)
Sensor technologies and perception algorithms
NXP Semiconductors is seeking a PhD candidate for a multi-sensor fusion project in collaboration with Inria’s ACENTAURI team, located in Sophia, France. The role involves developing robust perception systems that leverage various sensor technologies for applications in robotics and smart environments
Job Summary
The goal of this PhD is to design and evaluate robust multi-sensor perception systems capable of understanding their environment using heterogeneous sensors such as cameras, radars, LiDARs, and UWB devices.
The long-term objective is to build an adaptive fusion framework that dynamically selects and weights each sensor modality depending on environmental conditions.
Throughout the project, the candidate will pay close attention to embedded constraints such as latency, energy, memory footprint and quantization, thus paving the way for industrialization and integration into NXP’s customer solutions.
Matching Summary
Match Score: 85
NXP Semiconductors is seeking a PhD candidate for a multi-sensor fusion project in collaboration with Inria’s ACENTAURI team, located in Sophia, France. The role involves developing robust perception systems that leverage various sensor technologies for applications in robotics and smart environments.
Skills & Requirements
Must-have
Python, C/C++, Git, Linux
Deep learning framework (PyTorch, TensorFlow)
Sensor technologies and perception algorithms
Strong written and spoken English
Nice-to-have
Embedded systems and hardware-aware programming
Multi-sensor perception
Uncertainty estimation
Key Requirements
Strong academic background in Computer Science, Robotics, Artificial Intelligence, or related field
Solid foundations in mathematics and algorithmic thinking