About this role
Logo: YERLogo: YER EN Junior AI Research Scientist TNO StreetWise project Vacaturenr. V-20067495 - Helmond - Engineering - WO Master - Detachering via YER - Nederlandse Organisatie voor toegepast-natuurwetenschappelijk onderzoek TNO De positie You will be involved in developing new features for the TNO StreetWise pipeline, coding deterministic algorithms in Python. Together with our partners, we define the roadmap and upcoming sprints for the development of this pipeline. Your role is to turn loose requirements into functionality that can be used directly. Naturally, this is tested thoroughly. Besides, you will develop knew knowledge, also for our governmental partners. To make sure that they have all the required information, now and in the upcoming years, to safely assess new vehicles, including end-2-end AI systems. Your responsibilities will include: - Develop and improve deterministic detection and analysis algorithms in - Python; - Work together with the team on test and deployment of new elements of the pipeline; - Align with team members and the product owner to verify your assumptions and approaches; - Enjoy the teamwork and contribute to it; - Contribute to the team meetings with ideas, suggestions and solutions; - Process real-world driving data sets on a cloud platform; - Develop yourself and join other IVS projects to broaden your scope and impact. Over het bedrijf Our growing mobility demands coincide with unprecedented societal and environmental challenges. The department TNO Integrated Vehicle Safety (IVS) is part of the unit Mobility and Built Environment (MBE) in which we work on big societal challenges in the field of transport, infrastructure, and housing. At IVS we develop technology and assessment methodologies to accelerate the deployment of Connected and Cooperative Automated Mobility (CCAM) systems that contribute to 'zero calamities', 'zero emissions' and 'zero loss'. We support industrial part...