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Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges
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one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative
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Job description The TU Delft’s Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), invites applications for a fully funded PhD position. This exciting project aims
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oriented towards the development of a domain-specific design automation framework for cryptographic hardware. Your work will focus on identifying the mathematical knowledge and properties to guide hardware
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to future climate and human use scenarios; 3) Investigate the merits and drawbacks of DBN models in different geographic locations and over varying timescales; 4) Translate DBN model outputs into policy
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. Applications are open until 12 noon GMT on Wednesday 7th January 2026. The Programme Our PhD in Safe AI takes a unique and purposeful approach. Postgraduate researchers with different backgrounds and
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networks overlap and differ across species, providing insights into the evolutionary origins of brain function and the neural basis of cognitive functions such as language, working memory, and theory-of-mind
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work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g
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human thermal regulation and comfort in response to different infra-red radiant heat environments. Our aim with this co-funded PhD studentship is to: Establish a pilot working methods for a reliable
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. Your work will focus on identifying the mathematical knowledge and properties to guide hardware optimizations tailored to different environments. The optimizations range from algebraic optimizations (e.g