HiPEAC invites applications for a full-time doctoral position in Madrid working on scalable, low-precision Graph Neural Networks for edge inference and training. The project spans heterogeneous hardware/software co-design using Versal AI Engine and FPGA accelerators, with a focus on energy efficiency and sub-millisecond latency. The candidate will develop quantisation techniques, C/C++/Python implementations, and collaborate with an international team on European projects, with health insurance #J-18808-Ljbffr
📌 Edge GNNs: Low-Precision, Heterogeneous Hardware (Comunidad de Madrid)
🏢 HiPEAC
📍 Comunidad de Madrid
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