Award Type and NFQ level : RESEARCH PH.D. (10)

CAO/PAC code : MHJ02 (FT), MHJ03 (PT)

CAO Points :

Closing Date : 30 June 2018

View FETAC details

The Electronic Engineering Department offers a structured PhD programme in Electronic Engineering. The objective of this programme is to produce high quality PhD graduates with the skills and advanced engineering knowledge to operate as independent researchers and take on leadership roles in research and development both in academia and in industry. Our structured approach to a PhD education provides students with an excellent foundation in a variety of technical areas that are targeted towards the research area of the student combined with training in research, communication and business skills. We will also encourage engagement with the global research community, in academia and industry, through research visits, internships and attending conferences.

The structured PhD in Electronic Engineering is also offered by the Callan Institute. The Institute is focussed on the use of information, computing and communications technologies to address challenges arising from our increasingly complex world – our communications and technology driven environment and the impact on our personal lives. The Institute’s area of expertise is in electronic and software systems, wireless communications and in data mining, knowledge extraction and cognition. As a group, we wish to blend focussed basic research with a systems perspective that drives cross-disciplinary developments, essential in tackling the new challenges arising from the need for a more sustainable, knowledge-driven society. Innovation, and the transfer of the knowledge gained from our research, is a fundamental principle for the Institute.

A key element of achieving this is the construction of demonstrators and experimental platforms for demonstrating our achievements. We welcome engagement with all companies, local and international and we have demonstrated success in transferring knowledge and technology to assist new startup companies and product development. The Callan Institute provides research students with the skills and advanced engineering knowledge to operate as independent researchers and take on leadership roles in research and development.

Closing date
Research applications are generally accepted at any time

September (or other agreed time)

Apply Now

All candidates should have obtained a 2.1 in Electronic Engineering, Computer Science or a degree in a related area. Applicants may be required to attend for interview as part of the admissions process. Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level.

Minimum English language requirements:

  • IELTS: 6.5 minimum overall score
  • TOEFL (Paper based test): 585
  • TOEFL (Internet based test): 95
  • PTE (Pearson): 62

Maynooth University’s TOEFL code is 8850

A full list of research areas available in the Department and the associated Callan Institute
If you are looking for a specific topic area, please contact the researcher closest to your interest area. All our researchers are open to discussing potential research topics. Our general areas include:

- Analysis of Dynamical Systems
- Machine learning and Data Based Modelling
- Wireless systems (telecommunications)
- Renewable energy (focus on wave energy systems)
- Neural Systems & Rehabilitation Engineering
- Biomedical engineering
- Control systems
- Sound and Speech Signal Processing
- Microelectronic circuits

Individual staff research interests:

Prof John Ringwood
Modelling and advanced control of industrial processes, including dairy processes, climate control, steel mills, biotechnological processes and boiler systems. Application of mathematical modelling and analysis to biomedical systems. Renewable energy systems, including application of control technology to wave-energy devices. Virtual metrology and control for semiconductor and plasma processes.

Dr Seán Doherty
Modelling and advanced control of non-linear chemical processes, particularly pH. Artificial Neural Networks for modeling of dynamic non-linear systems. Multivariate Statistical Process Control and its application to process diagnostics and quality control.

Dr Rudi Villing
Physiologically and perceptually inspired signal processing.
Speech processing and expressive speech synthesis.
Virtual learning environments and e-learning.
Software engineering.

Dr Tomás Ward
Biomedical optics.
Noninvasive physiological measurement.
Emotion synthesis in artificial speech.
Brain-Computer Interfaces.
Assistive technology for people with disabilites.
Network protocols for distributed interactive simulation.

Dr Ronan Farrell
Analog and Mixed Signal Circuits.
Radio technologies for next generation mobile telecommunications.
Sensor Networks for Urban Areas.
Uses and Impacts of Mobile Communications.

Dr Bob Lawlor
Multimedia learning.
Audio digital signal processing.
Audio time-scale and frequencyscale modification. 
Sound Source Separation.

Dr Seamus McLoone
Latency reduction and masking – Developing techniques to reduce and/or mask the effects of latency and jitter in distributed interactive applications.
Psycho-Perceptual measures – Exploiting psycho-perceptual measures to improve consistency in distributed interactive applications.
Modelling from Data – Linear and non-linear system identification techniques applied to dynamical system modelling, time series prediction and signal processing.
Intelligent Systems Engineering – Utilising AI techniques such as Fuzzy Logic and Multiple Models to solve engineering problems.
Improving the student learning experience – Investigating different styles of teaching and assessment and using innovative technology to provide a better education for students.

For further information on research in Electronic Engineering see

For information on research in the Callan Institute see

The Structured PhD Research Programme is supported by a number of taught modules to be taken over the course of the programme designed to enhance research excellence and professional training. The student must accumulate 30 credits from both the generic skills modules and the subject specific modules prior to completion of the degree.

Course Duration: 4 years Full-time, 6 years Part-time

The structured PhD degree programmes offered by Electronic Engineering provide students with an excellent foundation for a wide variety of careers. The core of the structured PhD programme is the research programme that will be undertaken by the student. This will allow the student to gain deep insight and expertise in their specific focus area. In engineering, there is normally a strong correspondence between our research areas and career opportunities – be it in industry or continuing in the academic arena.

The taught element of the structured PhD programme broadens the skills and perspective of the student with modules on entrepreneurship, communication and presentation skills. The experience our PhD students will be enhanced by the Department’s excellent and in-depth relationships with industry partners nationally and internationally.

Online application only

PAC Code
MHJ02 Full-time
MHJ03 Part-time

All applicants to Research programmes must contact the Academic they wish to work with before applying to PAC. Please see the ‘Research Interests’ section for a list of academic staff and specialisms within the Department.

The following information should be forwarded to PAC, 1 Courthouse Square, Galway or uploaded to your online application form:

A Personal statement is required as part of the application process. Certified copies of all official transcripts of results for all non-Maynooth University qualifications listed MUST accompany the application. Failure to do so will delay your application being processed. Non-Maynooth University students are asked to provide two academic references and a copy of birth certificate or valid passport.

Applicants may be required to attend for interview as part of the admissions process.


Back to top