Research course

Systems Power and Energy

Institution
University of Glasgow · College of Science and Engineering
Qualifications
PhDEngDMSc by researchMPhil

Entry requirements

A 2.1 Honours degree or equivalent.

Months of entry

Anytime

Course content

Our research is interdisciplinary, pulling together experts across a range of different fields to collaborate on industrial-focussed challenges.

We have collaborations in energy, space systems, healthcare, bioengineering, nanotechnologies and automotive engineering.

Research areas

Communications, Sensing and Imaging

  • Antenna design and channel modelling
  • Physical layer design and signal processing, new waveforms for 5G
  • Radio resource allocation and MAC design
  • Networking and joint design of RAN and backhaul
  • Self Organisation of Cellular Networks
  • Use of Artificial Intelligence and Big Data Analysis for Self Organisation
  • Use cases of 5G technology (example areas include): Smart Transport, Smart Agriculture, Connected Health, Body area networks, Environment monitoring, Connected buildings.

Energy

  • Renewables of high thermal efficiency
  • Decarbonised fossil fuels
  • High efficiency energy conversion processes
  • Safe and clean nuclear energy
  • Sensing and simulation of energy systems

Medical and Industrial Ultrasonics

  • Ultrasonics in Medicine and Surgery
  • Power Ultrasonics Applications
  • Ultrasonic Transducer Materials and Devices
  • Cavitation and Microbubbles
  • Ultrasound Electronics and Systems
  • Beamforming and Signal Processing
  • Multimodal Systems with Ultrasound
  • Tools for Space and Hazardous Environments
  • Micromanipulation with Ultrasonics

Materials, Design and Manufacturing

  • Composite Materials
  • Advanced Manufacture
  • Computer-Automated Design (CAutoD)

Space Systems

  • Planetary exploration and science
  • Debris mitigation
  • Space power systems
  • Orbital dynamics, control and formation flight

Science & Music

  • Empirical Musicology: Gesture and Structure
  • Rehearsal and Analysis Tools for Microtonal Performance
  • Computer Representations of Musical Performances

Qualification, course duration and attendance options

  • PhD
    full time
    36-48 months
    • Campus-based learningis available for this qualification
    part time
    72-96 months
    • Campus-based learningis available for this qualification
  • EngD
    full time
    48-60 months
    • Campus-based learningis available for this qualification
    part time
    96 months
    • Campus-based learningis available for this qualification
  • MSc by research
    full time
    12-24 months
    • Campus-based learningis available for this qualification
    part time
    24-36 months
    • Campus-based learningis available for this qualification
  • MPhil
    full time
    24-36 months
    • Campus-based learningis available for this qualification
    part time
    36-48 months
    • Campus-based learningis available for this qualification

Course contact details