(5th July 2020) PhD opportunity: I have a potential PhD studentship available in the area of Machine Learning Systems, Edge Computing, and Energy. If interested, kindly get in touch with me to discuss.

Distributed systems, Cloud computing, energy & sustainability, Machine Learning systems, systems security, resource scheduling, dependability.

I am happy to explore and supervise topics within distributed systems, cloud computing, energy, resource scheduling, security, and dependability research. If you have your own ideas for a research project you would like to pursue, feel free to contact me to discuss further.

Evolving Distributed Systems Laboratory

Peter Garraghan is a Lecturer (Assistant Professor) in Computer Science and has published over 40 peer-reviewed articles within the field of distributed systems. His research expertise is empirically studying and improving the performance, resilience, and sustainability of massive-scale distributed systems (Cloud computing, Machine Learning systems, Datacentres) in the face of societal and environmental change.

Peter has industrial experience building large-scale production distributed systems, and has worked and collaborated internationally with the likes of Alibaba Group, Microsoft, BT, STFC, CONACYT, and the UK datacenter and IoT industry.

• Distributed Systems, Cloud computing, Machine Learning systems
• Energy-efficient & sustainable computing at scale
• CPU & GPU cluster resource scheduling
• Fault tolerance & recovery
• Systems security

Ph.D. in Computer Science (University of Leeds, UK)