[School of Natural Sciences PhD Scholarships] Accelerating low carbon computing: data compression and anomaly detection on neuromorphic architectures
The University of Manchester
Department of Physics and Astronomy
Sensors in laboratories, factories, satellites and particle detectors produce continuous streams of data. Most of that data is routine, represented by regular machine functioning outputs, steady telemetry, ordinary particle collisions. Read more
Supervisors: Dr C Doglioni, Dr A Gallego Schmid
Year round applications
PhD Research Project
Competition Funded PhD Project (Students Worldwide)