We are offering a full-time post-doctorate position for investigating pervasive intelligence and Artificial Intelligence of Things (AIoT). The research will focus on solutions suitable for advancing towards a truly pervasive and liquid AI, enabling edge devices to accomplish training and inference with the same accuracy of cloud AI, without harming our environment. For doing so, highly efficient learning methods will be investigated including model compression, reservoir and neuromorphic computing, and distributed/decentralized and collaborative data/client selection algorithms. Realistic use cases from sustainable development goals will be considered to validate the selected solutions.