Welcome from Professor Chris Johnson, Faculty Pro-Vice-Chancellor, Faculty of Engineering and Physical Sciences

Executive Summary

As the largest and one of the most dynamic schools in the University, the School of Electronics, Electrical Engineering and Computer Science is in a position to invest and grow, making a real impact regionally and internationally. Our ECIT Institute will develop into a £55m Global Innovation Institute (GII) Programme as part of the Belfast Region City Deal (BRCD), untapping the future of digitalisation, sustainability and health. The School is investing and building a true multidisciplinary environment with world-class facilities. The School of Electronics, Electrical Engineering and Computer Science is now welcoming multiple applications across a broad range of themes including AI and Computer Systems. It is an exciting time to join us as we invent the future together.

Recruitment Areas

Artificial Intelligence

Computational methods based on real intelligence.

Artificial intelligence research exploits a range of modern machine learning techniques to solve the challenging problems of image and video analysis, cognitive neuroscience, natural language understanding and intelligent robotics.

Computing Systems

High performance computing capability to catalyse innovation.

Computing Systems addresses advanced computing technologies for scalable data analytics, including algorithms, software and computing architectures. It covers the breadth of the computing continuum – high-performance and cloud, fog, edge, Internet- of-Things (IoT), devices and smart sensors. It addresses workloads varying between large-scale ‘big-data’ type processing workloads such as machine learning and graph analytics, to real-time streaming workloads, such as health, financial and sensor signal processing. It is concerned with the diversity of existing processing technologies including multicore, Graphics Processing Units (GPUs) or programmable hardware such as Field Programmable Gate Array (FPGA) alongside emerging computing architectures, such as quantum or brain-inspired devices. It is concerned with the performance, efficiency, energy expenditure, security and dependability of these systems.

Electronics, Electrical Engineering and Computer Science

Welcome from Professor Chris Johnson, Faculty Pro-Vice-Chancellor, Faculty of Engineering and Physical Sciences

Executive Summary

Recruitment Areas

Artificial Intelligence

Computing Systems

Computer Science Opportunities

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