PhD in Edge ML
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KU Leuven's e-Media research lab invites applications for a PhD position in hardware-software co-design for bio-inspired ML models. You will join Prof.
Martin Lefebvre's team within STADIUS/ESAT to develop energy-efficient edge ML on FPGA/ASIC, combining training of spiking neural networks with novel plasticities. The role requires a MSc in engineering with top grades, strong ML and Python skills, and experience with FPGA/RISC-V and EDA tools.