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interdisciplinary project to contribute to developing a community-based, digitally empowered approach to retrofit program design to empower marginalized communities. The project includes direct hands-on work with
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flexible alternative. Thanks to their significant thermal inertia and ultra-low-temperature operation, DHCNs can absorb surplus renewable energy, respond to market signals, alleviate grid stress, and provide
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, digitally empowered approach to retrofit program design to empower marginalized communities. The project includes direct hands-on work with households, neighborhood associations, local government
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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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specialist collaborator to guarantee adequate integration of perception and action; advanced motion-planning and control algorithms, continuously refined via robotic digital twins, enable reliable handling
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of sound waves, as well as transducers and related signal processing, in a wide range of scenarios: sound for the communication between humans (speech and music); the influence of sound (noise) on humans and
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Supported Cooperative Work (CSCW) – CSCW is the field that studies cooperation at work between different agents, whether human or technological, with the aim of designing adequate technologies that can
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should have strong digital signal processing and mathematical backgrounds evidenced by grades and/or prior publications. Additionally, the candidate should have expertise or strong interest (evidenced by
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-efficient accelerator architectures by designing digital and mixed-signal blocks for SSM inference in edge-AI systems. The successful candidate will explore novel SSM architectures that support sequence
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to dimension the reserves for balancing these power systems with manual and automatic reserves such as mFRR, aFRR and FCR. This PhD project will model different balancing principles including MARI and PICASSO