Expires on: 05/23/2024
These two PhD projects aim to develop a novel adaptive embedded hardware system, which will be equipped with a low-level hardware monitoring system together with a multi-level self-healing and diagnostics capabilities for adaptation of embedded software and hardware during run-time.
Our vision with this project is to demonstrate the possibility of extending the lifetime of IoT devices from several years to several decades through a combination of novel hardware/software co-design approach and machine learning based self-healing techniques.
The proposed projects will not only be providing the ability to reliably operate the embedded systems in complex practical environment with cost-effective manner, but also accurately assess the degradation of any given device, enabling the repurposing of devices with reduced capabilities for new tasks, therefore, it will enable a drastic reduction in the embodied carbon of IoT devices, and the Circular Economy, as our technology will allow devices to be repurposed repeatedly throughout their useful life.
The successful applicant will receive a full PhD Studentship, including full tuition fee discount for three years of study, a stipend payment towards your living costs and Proficio funding towards training, conferences, and travel.