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