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advantageous. Familiarity with mathematical modelling of power electronics circuits is also desirable. Funding Further information and other funding options . Informal Enquiries: s.neira@ed.ac.uk
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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including digital design, systems and mixed-signal design What you bring to the table Completed scientific university studies in the field of electrical engineering, electronics, communication engineering
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with a master's or diploma degree Fundamental understanding of mixed-signal circuit architecture (e.g., ADCs, DACs) Experience in deep learning, hardware development, or memory technology is a plus
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a team Flexible, self-motivated and able to plan his/her own work Good interpersonal skills High proficient in designing control system and electrical electronics circuit diagram Application form and
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a suitable candidate is found. Inexpensive and flexible integrated circuits composed of environmentally friendly materials, like metal oxides, are poised to revolutionize emerging semiconductor
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engineering, electronics, communication engineering, information technology or comparable with a master's or diploma degree Experience in circuit and layout design with Cadence Virtuoso, PSpice, Tanner EDA
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(or expect to obtain) a First Class or high 2:1 degree, or a Master’s degree, in Physics, Materials Science, or Electrical & Electronic Engineering. A solid understanding of semiconductor physics is a
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electronic design, AI-driven system resilience, and intelligent hardware security. Through the EUROPRACTICE partnership, the IVHM Centre provides access to advanced CAD tools, integrated circuit prototyping