Experimental master's thesis opportunity
Vision-to-ECU System Design and Setup for Predictive Road Comfort Intelligence
Modena, Italy · Engineering– EHE · Up to 80% remote work available
Turn road perception into predictive comfort intelligence
Join Maserati Engineering to develop a Proof of Concept that transforms forward-facing camera video into ECU-consumable signals for predictive comfort and chassis applications.
Your thesis project
Contribute to the development of an end-to-end Vision-to-ECU architecture: camera-video acquisition, offline replay, perception algorithms, engineering-signal generation and validation.
Main activities
• Road segmentation, hazard detection, and classification
• Distance, confidence and severity estimation
• Generation of ECU-ready outputs, including Road Roughness Index, Pothole Risk, Hazard Distance, Time to Impact, Recommended Damping, and Comfort Score
• KPI-based validation focusing on accuracy, latency, detection range, distance error, and signal stability
• Definition of an integration roadmap for HIL and CAN/CAN-FD/Ethernet vehicle networks
Who we are looking for
Master's students in Computer Engineering, Computer Science, Electronic Engineering, Computer Vision, or related disciplines.
Core competencies
1. Computer Science / Computer Engineering
2. Electronics
3. Computer vision
Preferred additional competency
Control Systems, with an interest in predictive comfort and chassis-control applications.
Technical skills
Python, OpenCV, PyTorch, YOLO-based object detection, image and video processing, dataset evaluation, Git, Linux, data analysis and visualisation. Preferred knowledge: MATLAB/Simulink, CAN/CAN-FD, Ethernet, dSPACE/HIL or embedded-system deployment.
Languages
Italian (native proficiency) and English (B2 level or higher).
What you will gain
Hands-on experience in automotive vision architectures, AI-based perception, dataset development, ECU-ready signal generation, validation workflows, and predictive chassis-control applications.
Pubblicato il: 15 ottobre 2026
