AI Research Scientist for Safe Automated Driving Systems

Geselecteerde taal: EN
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- Circular and industrial construction - Mobility and logistics
Go to Mobility and logistics -
- Efficient drug development - Medical devices - Work health -
- Decisive decision making -
- Accurate geo-location with nanosatellites - PERSEUS wind turbine radar interference assessment tool - Military use of space - Integrated combat capabilities -
- Safe and efficient mobility -
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- Talent development programme
- - Projects on commission - TNO Fast Track
Geselecteerde taal: EN
- AI Research Scientist for safe automated driving systems
Werken op afstand: On-site
Uren per week: 32-40 hours/week
AI Research Scientist for safe automated driving systems
Want to make your mark on our time? Become a AI Research Scientist at TNO in Helmond
About this position
To operate safely in complex real-world environments, automated driving systems increasingly rely on Artificial Intelligence (AI). While AI creates opportunities to improve road safety, it also introduces new challenges for safety assurance. How do we quantify system competence across different traffic situations? How do we detect functional insufficiencies? How do we determine whether an AI-enabled system is fit for purpose across its operational design domain? These are some of the key questions we address at TNO.
The department of Integrated Vehicle Safety (IVS) is part of TNO's unit Mobility and Built Environment (MBE). Together with industrial partners and policymakers, we develop technologies, methodologies, and assessment frameworks that accelerate the safe deployment of Connected, Cooperative and Automated Mobility (CCAM) systems. Our work contributes to safer roads, more sustainable transport, and more efficient mobility and logistics systems.
To make vehicles and mobility systems safer, more sustainable, and more efficient, IVS combines expertise in vehicle automation technologies with innovative safety assessment meth...