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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
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Your Job: Random unitaries are a ubiquitous tool in quantum information and quantum computing, with applications in the characterization of quantum hardware, quantum algorithms, quantum cryptography
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for future researchers. Thematically, CAUSE covers all levels of digital systems, from system-of-systems over software stacks to digital hardware. PhD students in CAUSE will cooperate closely to investigate
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methods be combined? AI Compute Paradigms: How will future AI hardware look and how will it be used? Intelligent Medical Devices: How can AI advance cybermedical systems? AI Methods for Health: How can AI
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on solid state devices cooperate and actively work as a theorist with experimental partners improving quantum hardware design and implement optimization techniques for full-stack implementation of quantum
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construction against those changes. Evolving Systems: We investigate novel construction and verification techniques that adapt to offline changes in the specification, the hardware, or the implementation
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Your Job: Explore bio-inspired algorithms through simulation—both numerical and circuit-based—and experiment with existing hardware, including CMOS and memristor circuits. Additionally, will need
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. Qualifications. The highly motivated candidate should have expertise in hyperpolarization methods (DNP; PHIP, Overhauser etc.) and/or in hands-on NMR or NV-hardware development (magnet, RF, etc.) The positions