PhD and Research Masters Positions
1. PhD Scholarships in Massive MIMO
Massive MIMO is a key technology for 5G-and-beyond wireless networks, which is capable of dramatically increasing both the spectral efficiency and the energy efficiency of the network. This project will design new transmitters and receivers as well as advanced signal processing algorithms for massive MIMO systems, based on the concept of sparse signaling, also known as generalized spatial modulation. The research will center on the joint design of channel coding, generalized spatial modulation, and receiver signal processing (channel estimation, compressed-sensing based signal detection, and iterative channel decoding). The new communication system designs will be validated by extensive mathematical analysis as well as by simulation. Channel coding techniques will center on state-of-the-art LDPC and polar code constructions, as these provide excellent performance advantages as well as low-complexity implementations. Interactions between the compressed-sensing based front-end detection process and the iterative channel decoder will be a key focus of the receiver design problem.
The PhD positions are fully funded by the Irish Research Council (IRC) with tuition fees and scholarships covered for four years starting in September 2018. The research will be conducted under the supervision of Associate Professor Mark Flanagan in conjunction with international academic collaborators.
The successful candidates should hold a Bachelors or Masters degree (First or Upper Second Class Honors) in electronic/communication engineering, computer science or a related discipline, and should possess a very strong background in mathematics, communication theory, signal processing and programming. Excellent writing and oral communication skills are also required. Applications should be sent by email to Associate Professor Mark Flanagan ( ) and should include: (1) Curriculum Vitae; (2) Copies of all Transcripts; (3) An English Test Certificate (for non-native English speakers); (4) Contact details of two Referees (email and phone number).
Closing date: 17:00 (local Irish time) on 31st July 2018.
2. M.Eng.Sc (by research) Scholarships in IoT Wearable Sensor Design
Applications are invited for two (2) fully funded 18-month M.Eng.Sc (by research) positions at IoE2 Lab at University College Dublin, Ireland. Scholarships cover tuition fees (€13,360) and a tax-free stipend of €18,500 per year.
Wearable health monitoring sensors are expected to be deployed ubiquitously in the near future to combat rising healthcare risks and costs. This project aims to develop modular low power IoT wearable sensors for healthcare monitoring. The selected candidates will together work as a team developing embedded hardware / software and embedded machine learning algorithms for state of the art IoT wearable sensors. They will research on optimal IoT sensor and software architectures, form factors, embedded signal processing techniques for power reduction etc. The project will involve collaboration with multi-disciplinary researchers who are working on IoT Machine learning, Biomedical signal analysis, clinicians etc. The position also provides the opportunity to gain valuable experience in design and development of healthcare systems. The successful candidate will get opportunities for presenting their work in international conferences and workshops, and publication of the research in high impact journals.
Applicants for this position should ideally have: (1) A first/upper-2nd class honors BE degree in Electrical/Computer Engineering or equivalent. (2) Knowledge/research background in Embedded hardware & software development, Wireless/Bluetooth devices, Signal Processing etc. (3) Experience and good knowledge with Serial protocols, Board debugging, embedded C programming, Schematic/PCB design etc. (4) Knowledge / research background in signal processing and specifically machine learning. (5) Strong analytical, interpersonal, communication and English language skills. (6) Be enthusiastic and willing to learn new concepts and ideas. (7) Prior Industrial experience will be an advantage.
The positions are open immediately and the selected candidates expected to join by September/October 2018. The project will be jointly-supervised by Dr. Deepu John and Dr. Barry Cardiff. Applications consisting of a cover letter, Transcripts, contact details of 3 referees, and curriculum vitae should be sent to .