Electronic Engineering

The objective of this Electronic Engineering programme from Maynooth University 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.

Career

The Electronic Engineering programme from Maynooth University provide students with an excellent foundation for a wide variety of careers. The core of the structured 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.

Courses include:

• Optimization Theory 

• Professional Skills – Thesis Completion and Career Development

• Academic Writing Module

• Computational Tools for Research

• Research Communication

• Laboratory Demonstration