We see Embedded Intelligence (EI) as the integration of intelligence into products, processes and services so they work better and can increase productivity, efficiency and connectivity.
EI is multidisciplinary by nature and underpinned by diverse areas of expertise (electrical, electronic, mechanical and systems engineering, materials, design, information management and computer science).
We offer fully funded studentships to eligible candidates in the areas of autonomous products, functional materials, high performance connected systems, data-to-knowledge solutions, and engineering for industry, life and health.
