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of current explainable AI techniques is highly beneficial. PhD Position 2: Privacy Preserving Explanations You will design methods to release model outputs and explanations under rigorously defined privacy
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processing, embedded systems, machine learning, and networked communication. Each PhD position corresponds to a dedicated research topic within the consortium. All doctoral researchers will benefit from joint
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researchers from TU Delft and Meta Platforms as a PhD student in the newly established FUSE Lab! Job description As generative artificial intelligence is transforming the daily work of software engineers, TU
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of computer-aided design (CAD) software. Specific Requirements Position DC1: We are looking for a highly motivated PhD candidate with strong interest in material science research, in particular in fabrication
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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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academic researchers. The project will enable the PhD student to develop new theories about consumer behavior and/or psychology and test these theories utilizing quantitative research. Students define and
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software-defined radios (SDR) and Aerial platform, antenna systems. Funding This self-funded PhD opportunity is open to Home and Overseas fee status students. Eligibility for Home fee status is determined