School of Computing, Science & Engineering

World class facilities are the basis for the delivery of postgraduate research activity in the School of Computing, Science & Engineering (MPhil, PhD, and Postgraduate studies). Our research ethos is one of solving 'real world' problems in collaboration with industry and commerce. The success of our real-world focus and interdisciplinary ethos was confirmed in the 2008 Research Assessment Exercise (RAE), which placed Salford in the top third of UK Universities for research (in terms of Research Power). 83% of work submitted was rated as 'internationally recognised' (2* and above) and 43% of work was rated as 'world-leading' (4*) or 'internationally excellent' (3*).The School has a number of GTS positions in the broad areas of computing, science and engineering and applications are invited for the topics listed below.

Eligible candidates

UK/EU candidates only

GTS Academic Coordinator

Prof. Sunil Vadera
Prof. Dave Howard

GTS Administrator

Catriona Barkley

Teaching and Research Areas

Acoustics

  • Building and architectural acoustics
  • Environmental acoustics
  • Audio and speech processing
  • Audio transducer
  • Remote acoustic sensing

Engineering

  • Modelling and simulation of traffic/driver behaviour
  • Seismic engineering and soil-structure interaction
  • Water network modelling and management
  • Gas and spray engineering
  • Automatic control, artificial intelligence and robotics
  • Novel power trains and x-by-wire technologies for road and rail vehicles
  • Biomedical engineering and biomechanics

Informatics

  • Wireless technologies
  • Sensor networks
  • Intelligent buildings
  • Energy monitoring
  • Information security and forensics
  • Data mining techniques
  • Machine learning
  • Text mining
  • Ontology
  • Inductive logic programming
  • Document image analysis
  • Video analytics
  • Visual technologies
  • Virtual humans

Physics and Materials

  • Photonics and laser applications
  • Atomic collisions and ion-beam physics
  • Energy and hydrogen storage
  • Magnetism and hydrogen storage
  • Materials and nanomaterials
  • Materials characterisation and modelling
  • Nonlinear science and applied mathematics