PhD Studentships 2018/19
A number of Postgraduate Research Studentships are available within the School of Electronics Electrical Engineering and Computer Science for home, EU and international students enrolling in 2018.
Further information on potential projects which may be successful for an award are listed below.
Please note that not all projects are subject to internal QUB funding.
If you have a project of your own, then you should contact a possible supervisor about its viability.
A minimum 2.1 honours degree or equivalent in Electrical and Electronic Engineering, Computer Science or relevant degree is required.
More information on funding of a PhD can be found at https://www.qub.ac.uk/sites/graduateschool/PostgraduateFunding/
There are a number of PhD studentships available for applicants in the UK, EU or International countries who wish to undertake full-time research at Queen's. These 3 year and 4 year PhD studentships, potentially funded by the Department for Employment and Learning (DEL) or Engineering and Physical Sciences Research Council commence on 1 October 2018.
In some instances, conditions on awards with eligibility for both fees and maintenance (£14,786 in 2018/19) depends on the applicants being either an ordinary UK resident or those EU residents who have lived permanently in the UK for the 3 years immediately preceding the start of the studentship. Non UK residents who hold EU residency may also apply but if successful may receive fees only.
Applications are also welcome from International students. Applicants are required to meet the English Language Testing System (IELTS) 6.0 with a minimum of 5.5 in all four elements of the test or equivalent.
Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/
The applications will be considered and accepted on a rolling basis.
Queen's University/China Scholarship Council PhD Scholarships 2018
A maximum of ten studentship places for the joint QUB-China Scholarship Council awards for PhD research will be funded for 2018-19.
Full details on these can be viewed by clicking here.
INTERREG VA Storage Platform for the Integration of Renewable Energy (SPIRE 2)
CERN’s Doctoral Student Programme1,2
Centre for Wireless Innovation
- Sporadic access control and artificial Intelligence for future robotic systems
- Enabling a wireless forensic technology for secure machine type communications
- Low-latency communications in the 5G era
- Antenna array design for mm-wave massive MIMO
- Anonymous Wireless – Building a Privacy Enabled Internet of Things
- Wearable Biosensing Using mm-Scale Medical Implants
- Wideband millimetre wave imaging antenna
- Automotive radar sensor antenna system
- Cell-Free Massive MIMO: User-Centric Ultra-Dense Networks
- Massive MIMO in Machine-Type Communications
- Novel Injection Locked Transceivers for RFID and Healthcare
- Retrodirective antennas for secure terrestrial applications
- Self-Healing Low-Cost Integrated Transceiver Circuits For Outer Space Applications
- Novel Rectenna for Energy Harvesting and Wireless Power Transmission
- Millimetre-Wave Intelligent Transportation Systems
- Millimetre-Wave Wearable Communications
- Adaptive Wearable Antennas for Medical Applications
- Advanced Artificial Surfaces for Wearable Wireless Medical Systems
- Antennas for millimetre wave imaging
- Long distance Wireless Power Transfer
MHLS / ECIT Collaboration
ECIT / WanDisco Collaboration
Centre For Data Science And Scalable Computing (DSSC)
- Peering inside the ‘black box’: Understanding and refining deep neural networks with cognitive science
- Understanding the brain and its diseases: building an ontology for the clinical neurosciences
- Predicitive analytics in an ICU by processing streams of physiological data in real-time
- Personalised video content summary and composition from ultra-large-volume video data driving by deep learning
- Energy-Efficient, Robust and Secure Data Storage Using Data Mining and Analysis
- Energy-Quality Scalable Processors under Dynamically Varying Operating Conditions
- Implementation of a smart energy-efficient data analysis system for food safety and authenticity
- On Analysing Urban Mobility Data for Smart Cities
- Spatio-Temporal Analytics on Sports Data
- Crowd analysis using Deep Neural Networks
- Continuous Deep Human Pose Estimation For Video Sequences
- Cyber-Physical AI on Embedded/Edge/Cloud Architectures.
- FPGA-based Artificial Intelligence
- FPGA-based Sparse Graph Analytics
- Quantum Computer Architecture
- Deep relational reinforcement learning
- Human-robot collaboration as end-to-end learning
- Meta Learning for Deep Reinforcement Learning and Robotics
- Planning and Representation Learning under Uncertainty for Motor Primitives and Robotics
- The Science of Virality in Social Media
- Gentleman AI
- Striking Features for Similarity Search
- Making sense of cancer data
- Byzantine Paxos to Solve Consensus in Blockchain Technology
- Future Directions in Graph Analytics
- Parallel Subgraph Matching
- Mining Graphlet Statistics From Online Social Networks
- LEEWAY – Lean Efficient Edge-based WorkloAd DeploYment on the Internet
- RAMEN: RApid Migration at the Edge of the Network
- High performance software for analysis of mass spectrometry data applied to challenges in Global Food Security
Electronics and Computer Engineering (ECE)
- New machine learning approaches to heterogeneous big data analytics in precision medicine
- Machine learning techniques for heterogeneous data integration
- Artificial Intelligence techniques for automated analysis of social media data
- Extending the Wave Digital Filter Approach to Circuit Modelling
- Mining Repositories to Model Software Evolution
- Multi-Objective Software Refactoring
- Design, Formulation, and Sensor-Based Control of Bowed Virtual-Acoustic Instruments
- New Edge Computing Solutions for Machine Learning
Energy, Power and Intelligent Control (EPIC)
- Implementation of Modular Multilevel Matrix Converter for Wind Energy Conversion
- Merits of Reserve from Wind Power Generation
- Big Data Analytics for Smart Grid with High Penetration of Wind
- Operation of Low-Inertia Power Systems
- Hybrid systems modelling and control for Industry 4.0 applications
- Evolving Intelligent Behaviour in Cooperating Robots (EvoBots)
- Intelligent systems techniques for improving manufacturing competiveness
- Flexible automation and cobotics
- Development of Highly Sensitive Chemical Detection Platform
- In-situ Monitoring of Mechanical Properties of Nanomaterials