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computer science and control systems architecture, advancing all the above disciplines. Building energy flexibility is an important resource for balancing and load shifting in energy networks, especially
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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
qualifications and technical skills that are listed below. MSc Degree (or equivalent) in Civil or Mechanical Engineering or other related engineering or science fields (e.g., Architectural, Electrical, Mechanical
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., Architectural, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science, Medical Engineering, and Human Psychology) More detailed information about the Rules related to DTU’s PhD
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
., Architectural, Electrical, Mechanical or Industrial Engineering, Autonomous Systems, Computer Science, Medical Engineering, and Human Psychology) Excellent background in the design, creation, and testing
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, suitable for wearable or implantable devices. The research will focus on hardware-software co-design, from modeling spiking behavior to implementing scalable architectures on silicon. Key research themes
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cryogenic electronics, CMOS behavior at cryogenic temperatures (4 K and below), and quantum hardware architectures (superconducting qubits and spin qubits). Collaborate with quantum physicists to interface