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Description The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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architecture search to generate a family of related models. An AI service can then trade accuracy for lower energy and carbon at runtime, picking the right model for the current grid status. You will be
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are continuously subject to "domain shifts" caused by fluctuating conditions, hardware degradation, or changing physical surroundings. Traditional AI models are often brittle under these distribution shifts, leading
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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers
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. Experience with development of Triton or CUDA kernels. Experience with distributed training and LLM infrastructure (e.g. Ray, TRL, vLLM, Triton, DeepSpeed, Unsloth, VeRL) and MLOps tooling (MLflow, Weights
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investigating how technology, space design, and pedagogy can together enable students to continue learning at work, in individual study, or in distributed settings following active, on-campus learning experiences
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stated above and the following general criteria: Research experience Experience and quality of teaching Research vision and potential International impact and experience Societal impact Innovativeness