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AI-enabled digital technologies for the resilient operation of power systems School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline
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Digitally enabled development of sustainable metamaterials to create circular alternatives to current unsustainable parts widely used in industry School of Electrical and Electronic Engineering PhD
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/employee/alegi69 ), located in the Electronic and Photonic Materials Division: https://liu.se/en/organisation/liu/ifm/efm. Here, you will be part of a small (currently the PI and ~5 researchers) and
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projects, please visit https://shuhei.net/ Funding Notes Available for externally funded and self-funded students. Applicants with a background in mechanical engineering, electrical and electronic
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Job Description Do you want to contribute to the green energy transition? Are you excited about developing intelligent power electronic converters and drives with AI and edge computing technologies
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Applied Power Electronic Systems. You will join an interdisciplinary team working across electrolysers, Power-to-X systems, power electronics, control, digital twins, and energy-system optimization
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, environmental health Digital construction, maritime studies & management Electrical and Electronic Engineering (EEE) Renewable energy, smart power grids & energy storage Control & robotics, autonomous
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, environmental health Digital construction, maritime studies & management Electrical and Electronic Engineering (EEE) Renewable energy, smart power grids & energy storage Control & robotics, autonomous
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-Phase Heat Transfer Surfaces. From the processor in your phone to the AI compute in a data centre, every high-power electronic device faces the same limit: heat. This has created an urgent demand
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Doctoral student in Nonlinear Power-Efficient Transmit Array Architecture Reference number REF 2026-0291 Current transmitters are limited in terms of their bandwidth, energy efficiency and linearity