(Structured PhD) Electrical & Electronic Engineering
College of Engineering & Informatics,
School of Engineering & Informatics
Course overview
The Structured PhD is a 4-year programme which offers added value to the core component of doctoral training. Students on this programme are offered disciplinary or dissertation specific modules, as well as generic and transferable skills designed to meet the needs of an employment market that is wider than academia.
The programme is flexible and student centred, as candidates choose their own pathways in consultation with their Supervisor and Graduate Research Committee.
Programmes available
PhD (full-time, four years)
- New entrants may register for the programme from September to March each year
The thesis remains central to the award of the PhD and is weighted at 330 ECTs. - Students select appropriate skills modules in consultation with their Supervisor and/or Postgraduate Research Committee as follows: At least 10 ECTs in two of the three skills categories, and an overall total of at least 30 ECTs
Skills Categories: (i) Problem Based Learning; (ii) Publication/Dissemination; (iii) Formal Training (from a range of Discipline-specific, Interdisciplinary and Generic modules)
Entry requirements
Areas of interest
- Biomedical Engineering
- Exercise Engineering
- Ambient assisted Living
- Biomedical Electronics
- Rehabilitation Engineering
- Cardiovascular Electronics
- Medical Imaging
- Automotive Electronics
- Diagnostic & Therapeutic Engineering for Cancer
- Communications
- Power Electronics
- Energy Conversion
- Bio-inspired Electronics
- Reconfigurable Computing
- Embedded Systems
- Web Technologies
Researcher profiles
Prof. Gearoid OLaighin
Rehabilitation Engineering Science and Vascular Electronics.
Dr. John Breslin
Social Semantic Web and integrating the Web with electronic devices / sensor systems.
Dr. Peter Corcoran
Embedded Systems, Multimedia Home Networking, Digital Imaging, Biometrics, Wireless and Powerline Networking
Dr. Maeve Duffy
Magnetic component design, Wearable power generators, Wireless powering, Sensors
Prof. Gerard Hurley
Electromagnetics, Power Electronics, and Renewable Energy
Dr. Martin Glavin
Digital Signal Processing and Embedded Systems for automotive and biomedical applications.
Dr. Edward Jones
Digital Signal Processing, with applications in speech and audio processing, image processing, and biomedical engineering.
Liam Kilmartin
Speech and Audio Processing, Fixed and Mobile Network Modelling, Bio-signal processing, Application of Machine Learning Algorithms
Dr. Fearghal Morgan
Evolvable Hardware, in particular Network on Chip (NoC)-based Hardware Spiking Neural Networks (SNNs). Genetic and Evolutionary computation, Reconfigurable Computing technology, applications and FPGA IP security
Prof. Gearoid OLaighin
Ambient Assisted Living, Exercise Engineering, Biomedical Electronics, Rehabilitation Engineering Science and Vascular Electronics
Find out more
Ms. Mary Costello, Administrator,
Electrical & electronic Engineering,
NUI Galway
T 353 91 492 728
PAC code
Structured PhD, full-time—GYJ03
Current project
Car-based detection of pedestrians at night-time using imaging techniques
Treatment of venous leg ulcers using Neuromuscular Electrical Stimulation
Using web technologies and social networking to improve adherence to exercise
Development of a leadless cardiac pacing device
Reconfigurable low power scalable hardware neural network for self repairing system
Research into transport delay in VoIP systems
DSP algorithm for mobile digital health
Advanced biometric recognition and matching techniques
Battery management in renewable energy applications
Fees for this course
Current Students
Barry Broderick
PhD (Bioelectronics)
"...Pursing a PhD in Bioelectronics at NUI Galway has been an extremely rewarding experience and enabled me not only to develop to an advanced level the skills acquired during my undergraduate degree but also to develop a completely new set of skills and expertise. In my case I needed anatomical and physiological knowledge to enable me to apply my engineering expertise to develop effective and novel systems for the prevention of post-operative DVT".
