MPhil Systems Power and Energy in Glasgow United Kingdom | University of Glasgow

Our School of Engineering conducts cutting-edge research in Systems, Power, and Energy, addressing critical challenges across diverse fields including energy technologies, ultrasonics, materials science, manufacturing, space systems, and the intersection of science and music.

Overview
We take an interdisciplinary approach, uniting specialists from various disciplines to solve industry-driven problems. Our partnerships span energy sectors, space technology, healthcare innovations, bioengineering, nanotechnology, and automotive engineering advancements.

Research Areas
Communications, Sensing and Imaging
- Antenna development and propagation modeling
- Physical layer architecture and signal processing, including 5G waveform innovation
- Radio spectrum management and medium access control
- Network infrastructure and RAN-backhaul integration
- Autonomous cellular network optimization
- AI and big data applications for network self-configuration
- 5G implementation scenarios: Intelligent Transportation, Precision Agriculture, Digital Healthcare, Wearable Networks, Ecological Monitoring, Smart Infrastructure

Energy
- High-performance renewable energy systems
- Low-carbon fossil fuel solutions
- Optimized energy conversion methods
- Secure nuclear energy technologies
- Energy system monitoring and simulation

Medical and Industrial Ultrasonics
- Ultrasound applications in healthcare
- High-power ultrasonic technologies
- Transducer materials and component development
- Cavitation phenomena research
- Ultrasound system electronics
- Advanced beamforming techniques
- Hybrid ultrasound imaging systems
- Space and extreme environment tools
- Acoustic micromanipulation

Materials, Design and Manufacturing
- Composite material innovations
- Next-generation manufacturing techniques
- Computer-Automated Design (CAutoD) solutions

Space Systems
- Planetary research missions
- Space debris management
- Spacecraft power solutions
- Orbital mechanics and formation flying

Science & Music
- Performance analysis through empirical musicology
- Microtonal music rehearsal technologies
- Digital performance modeling

Program Duration: 2-3 years full-time; 3-4 years part-time