Werk jij mee aan een nieuwe tijd?

Stage: Validation of AI - A step towards Automotive AI management Sys(931281)

The project will increase RDW knowledge needed to influence the development of national and international regulations around automated vehicles. It will also help RDW prepare for the upcoming regulations and policies around automated vehicles by accruing knowledge about auditing AI systems.

  • Zoetermeer
  • Hbo/Wo
  • Technologie

Wat ga je doen?

One of the major constrains of artificial intelligence (AI) in automotive is the black box nature of it. This is more significant in the automotive industry where the OEMs is not obligated to share their AI models or architectures with the regulatory bodies. This is backed by the rationale that since it is a piece of software and is developed across many suppliers it viable to assess or audit the model or the system. The main objective of this assignment is to propose a framework which can be used to validate an AI system keeping in mind the black box nature of the AI. The challenge is to develop a framework with a systematic risk-based approach defining organizational processes, responsibilities and governance to treat risk associated with AI in vehicles and protect them from safety, risks and develop trust. There are many existing frameworks which validate AI keeping the black box nature in mind, but they are not robust enough to validate a complex and multi-modal system like an autonomous vehicle. Additionally there are no existing frameworks which are suited for the automotive industry.

The main research tasks are as follows:

  • Identify the integral components that need to be audited for a successful assessment of AI in an autonomous vehicle.
  • Develop/Propose an Artificial Intelligence Management System(AIMS) which can be applicable to level 3 and beyond systems.
  • Propose an integration of AIMS with the Safety Management System found in R157 by UNECE or NATM audit guidelines proposed by VMAD SG3.

Met wie werk je?

As an intern, you work for the Vehicle Regulation & Licensing (VRT) division. You are part of the Applied Innovation team that focuses on knowledge and product development for the development of new legislation, new licensing frameworks and working methods for vehicle innovation. We take a learning-by-doing approach, developing new products and knowledge and then validating them by also applying them, including by conducting practical trials on public roads.

Waarom past deze stage / traineeship bij jou?

You are a 3rd or 4th year student in the field of engineering (general, automotive, electrical or mechanical) or ICT with a healthy dose of energy, perseverance and a solution-oriented mind.

You have the expertise in Artificial Intelligence in Automotive Engineering.

Then you are at the right place at RDW!

Wat hebben we jou te bieden?

  • An interesting and challenging master graduation project for 6 months, starting as soon as possible
  • An allowance of €586,80 per month (based on a 36-hour work week)
  • The possibility to (partly) work from home
  • The supervisor will assure their full availability as well as a friendly environment

Solliciteren bij RDW. Zo werkt het!


Op gesprek



Eerste werkdag!

Meer weten en solliciteren?

Do you want to know more about this assignment? Please contact Shubham Koyal (Advisor), or 06-50746485 or Espedito Rusciano (senior advisor), or 06-25764089.

Interesting master graduation project? Please apply with your motivation and CV. 

RDW werken aan een nieuwe tijd

De ontwikkelingen in mobiliteit gaan steeds sneller. Bij de RDW kun je de nieuwe innovaties niet afwachten; van een RDW’er wordt verwacht dat je vooruitdenkt en anticipeert op de ontwikkelingen. Zeker in deze tijd, met nieuwe uitdagingen en nieuwe vraagstukken. Dit is hét moment om in te stappen. Want bij de RDW kijk je niet toe, maar draag je actief bij aan het mogelijk maken van nieuwe ontwikkelingen, de verkeersveiligheid en het efficiënt inzetten van voertuigen en alternatieve brandstoffen.

Voor intermediairs en adviseurs: we verzorgen de werving graag zelf. Aanbiedingen op onze vacatures worden niet gewaardeerd. Flex vacatures vervullen we in samenwerking met onze vaste leveranciers.