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for Delft Engineering Education (IDEE) initiative, on the theme “Future Engineering Skills”. You will work in a cross-faculty research team of more than twenty TU Delft staff members, an educational
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contribute and develop both research and teaching under the guidance of the scientific staff of the academic group of Complex Projects. The term ‘Activating Design’ is introduced by the group of Complex
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an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Key job responsibilities include: Education: Organize, initiate and contribute
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project “Neuromorphic Learning for Advanced Insect-inspired Artificial Intelligence (NL-AI2)”, we will develop a neuromorphic AI that is extremely efficient, as it mimics the sparse and asynchronous
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project “Neuromorphic Learning for Advanced Insect-inspired Artificial Intelligence (NL-AI2)”, we will develop a neuromorphic AI that is extremely efficient, as it mimics the sparse and asynchronous
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colleague who will share our vision, ambition, and enthusiasm for research and education. We are inspired and motivated by the societal challenges posed by climate change, required energy transition, resource
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with other groups at the university, national, and international level. You should also have the didactic abilities for teaching systems and control courses at the BSc, MSc, and postgraduate level, and
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temporal resolution and enable novel applications through the concept of virtual payloads. You will develop your vision and your own research line in areas such as Guidance, Navigation and Control
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at (inter)national conferences or workshops. Furthermore, you are supposed to carry out minor teaching tasks (at most 15% of the contract time). Teaching in English will be possible. Communication will be in
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. As a PhD student at TU Delft, you will conduct research and develop non-Markovian models from the viewpoint of Network Science and geared to predicting and preventing spread in networks. Depending