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Field
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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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, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and inspiring education. We do so, driven by curiosity and supported by outstanding infrastructure
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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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. 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
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from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organized in eight institutes
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Specific Requirements A master’s degree in Industrial Engineering, Mechanical Engineering, Systems Engineering, Systems and Control Engineering, (Applied) Mathematics, Engineering Mathematics, and other
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about mathematical systems and
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mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
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preference-based optimisation. The goal is to improve transparency and trust during collaborative human–AI design sessions. Outcomes include a new LLM-aided XAI toolbox, validated on both academic and
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human-readable explanations during preference-based optimisation. The goal is to improve transparency and trust during collaborative human–AI design sessions. Outcomes include a new LLM-aided XAI toolbox