This is our time to make a mark in data science. In a world of ongoing digitisation, data quantities are constantly rising. But how can we properly harness this mountain of data to improve the quality of our lives? And how can we ensure privacy? But also, how can we make AI systems more reliable, fair, or comprehensible? Find out what we do at TNO in the field of data science or view our vacancies right away.
At TNO, we focus on three AI knowledge areas: Trustworthy AI, responsible AI, and knowledge-based AI. In doing so, we’re reflecting on how human knowledge and experience can be used to enrich information systems and AI. How can natural language enable data exchange? And how can we enable AI systems to learn from human knowledge and to use context awareness in reasoning?
One method is to use natural language to enable data exchange. Or by enabling AI systems to learn from human knowledge and to use context awareness in reasoning.
How we contribute to data science
The Data Science expertise group has expertise in sharing and managing data. And in using data to make better decisions. Read here about what we do.
Sustainable agriculture through digitalisation
Sustainable agriculture is the future. Through circular agriculture and digitalisation, we’re reducing the impact of our agricultural system on the climate and the Earth.
Privacy enhancing technologies
At TNO, we work on privacy-enhancing technologies such as multi-party computation (MPC). Find out how to use this for your organisation.
Want to make your mark on our time? Find your new job in the field of data science
Project Manager Digital Built Environment | Delft
Senior Business Consultant for Digital Built Environment
System Engineer Defence, Safety & Security | The Hague or Ypenburg
Medior/Senior Scientist Defence, Safety & Security | The Hague, Ypenburg or Soesterberg
Software developer Defence, Safety and Security | The Hague
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