Engineering

• Sensors and Transducers for medical systems
• Low power bio-instrumentation & application
• Wearable devices for continuous physical & healthcare monitoring
• Meteorological characterisation of medical devices & regulatory issues
• Bio-signal processing for diagnostics
• Assistive medical devices for neurorehabilitation
• Low power embedded ML

Open Positions: We are currently expanding our lab and looking for talented individuals to join us, whether you are an undergraduate researcher, master's student, PhD candidate, or Post-Doc.

Specifically, I am seeking one Research Assistant (specialising in PCB Design and Firmware Engineering). You can find details about these positions, including the application process, in the link below:

https://universityvacancies.com/university-galway/research-assistant-galenband-1-fte-school-engineer...

I also have a PhD vacancy funded by the College of Science & Engineering, University of Galway, which covers tuition fees and includes an annual stipend of 22,000 Euros. Please note that the deadline for application is on 14th April, 2025.

PhD Project Description: Wearable technologies embedded with multiple intelligent sensors have reached an important cusp where various human factors such as portability, wearability and longer battery life are approaching utility for continuous real-time monitoring in early disease detection and diagnosis, such as epilepsy. The lack of portability and long-term wearability of current commercial wearable devices, as well as their high energy consumption, make it unsuitable and uncomfortable for continuous ambulatory monitoring. The project aims to design high performance ultra-low power analogue front end (AFE) system combined with edge computing ML algorithms that can sense, analyse, process and autonomously act to detect incipient events such as epileptic seizures. It is anticipated that the by the end of the project, the design will be validated through pilot clinical trials.
This project will be undertaken as a 4-year structured PhD programme at the University of Galway, which will involve the completion of 30 ECTS credits of level 9 taught courses. Every PhD student, in addition to a supervisor, has their own Graduate Research Committee (GRC) of three academic staff members. The formal role of the GRC is to review the student¿s progress annually and to make a recommendation to the College on progression into the next year of the programme. 

• Bachelor's/Master¿s degree in electronic engineering (high GPA is preferred).
• Excellent hands-on experience in PCB prototyping using EAGLE/KiCAD.
• Experience with test measurement equipment, including Power Supplies, Oscilloscope, Signal Generators, DAQ, etc.
• Proficiency in circuit simulation tools such as LTSpice (preferred)/TINA/Multisim.
• Knowledge of low-power biopotential amplifier design and energy harvesting techniques is preferred.
• Candidates with machine learning skills, particularly in embedded ML, is desired.
• Willingness to work on both bioelectronic circuits and embedded ML integration.
• Proficiency in computer programming languages such as Python and C++.
• Experience in peer-reviewed conference/journal publications will be preferred.

• CV
• Cover Letter detailing how your skills are aligned for this role
• A statement of personal research interests detailing - rationale to pursue higher degree by research (PhD), and attributes that demonstrate their capability to be a good researcher, e.g. motivation (500 words maximum)
• Academic Transcripts
• Contact information for two references