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Field
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Technologies (quantum communication, computing, sensing, nanoelectronics, emerging devices, energy-efficient systems) Cybersecurity and Cyber Physical Systems (hardware, software, and network security; AI
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nanofabrication, nanoelectronics, atomic force microscopy, quantum sensing and computing, high speed optical devices and atomistic device simulations. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max
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Dongguan Institute of Materials Science and Technology, Chinese Academy of Sciences (DIMST, CAS) | Province of North West, North West | South Africa | 3 days ago
Materials Division of Biomedical Materials Division of Advanced Scientific Instruments and Equipment Division of Functional Ceramic Materials Division of Intelligent Materials Informatics Materials Data
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platforms. Interdisciplinary Environment: Work alongside experts in nanofabrication, material growth, two dimensional materials, spin-orbit torques, and quantum devices in a vibrant and supportive research
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-human interaction, trustworthy AI, explainable AI, large language models, future communications/5G, and quantum computing. Key Responsibilities: Facilitate and conduct all teaching assignments
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, and positioning ORNL as the national leader in geospatial HPC, data infrastructure, and emerging computing paradigms (edge compute, neuromorphic, quantum). In this capacity you will be responsible
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Posting Details Position Information Position Title Empire Innovation Professor, Electrical Engineering Department Department of Electrical and Computer Engineering Posting Number F250114 Posting
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Degree PhD Course location Karlsruhe Teaching language English Languages Courses are held in English (100%). Full-time / part-time full-time Programme duration 6 semesters Beginning Only