PhD Electrical and Electronic Engineering

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Overview

The PhD programme in the Department of Electrical and Electronic Engineering is a strategic research collaboration between XJTLU and the University of Liverpool, and is based at XJTLU. Upon successful completion of your programme you will receive a degree from the University of Liverpool, which is recognised by the UK’s Department of Education as well as China’s Ministry of Education.

Students on this programme are formally registered with the University of Liverpool as off-site postgraduate research students. You will carry out research on XJTLU premises under the supervision of the supervisory team.

As a PhD student you will be appointed a designated primary (local) supervisor at XJTLU, who is a full-time member of academic staff. In addition, you will also have a designated secondary supervisor based at the University of Liverpool.

The normal length of full-time PhD programme is three years. At the end of three years’ full-time study, you can apply for an extension of one year to complete the writing of your dissertation. Part-time PhD degrees usually take four to seven years.

As a registered full-time PhD student, you have the opportunity to apply for a research visit to the University of Liverpool for up to three months. Your accommodation and travel fees will be covered by XJTLU and the University of Liverpool.

Full-time PhD students are funded to attend local and international conferences during their studies.

Key benefits of PhD study at XJTLU:

  • Our PhD programme equips you with a range of professional skills to help you maximise your future employability
  • Our supervisors will guide you through one of the most intellectually satisfying experiences of your life
  • Supervision from respected academics at both XJTLU and the University of Liverpool
  • PhD students have dedicated travel budgets for participating in international conferences
  • The chance to apply for a research visit to the University of Liverpool for up to three months
  • Opportunities to work as a teaching assistant and develop crucial academic skills.

Fees

Scholarships

We have a number of scholarship options for PhD candidates, including tuition-only scholarships for full-time PhD study and an academic merit scholarship for international students. Please see our scholarships page for more information.

Additionally, specific funded PhD projects are available that have a scholarship covering the tuition fee and a monthly stipend. Please visit scholarships for specific financial information. The Department has the following funded PhD projects available (this list is updated in January and July every year):

Title of PhD project Reference number Status Supervisor
Topology Studies and Efficiency Optimisation of a Bidirectional Isolated Power Interface for Distributed Photovoltaic Power Systems considering Non-Ideal Parameters
PGRS-12-03-14 Open Dr Huiqing Wen

[email protected]

Structural Analysis for Power Grids Security
RDF-15-02-14 Open Dr Fei Xue [email protected]
Human Face Detection for HEVC Compressed Videos
RDF-15-02-43 Open Dr Jimin Xiao [email protected]
Localised Design of Reliable PV Inverter
RDF-15-01-40 Open Dr Yang Du
[email protected]
Study on Integrated Energy-efficiency Optimisation Model for Trains with On-board Energy Storage Devices RDF-16-01-42 Open Dr Shaofeng Lu
[email protected]
Study on Scalable Imbalance Learning Locally and Globally and its Application
RDF-16-01-57 Open Dr Rui Zhang
[email protected]
Dr Kaizhu Huang
[email protected]
Wireless Power Transfer and Communication Systems for Implantable Devices RDF-16-01-65 Open Dr Mark Leach
[email protected]
High-frequency-link DC Solid State Transformer For Flexible DC Distribution RDF-16-01-10 Open Dr Huiqing Wen
[email protected]
Theoretical and Empirical Investigation of Deep Learning for Object Recognition and Computer Vision
NSFC 2015 Project No. 61473236 Open Dr Kaizhu Huang
[email protected]
Thin film transistors based on in-plane Si nanowires
RDF-16-02-11 Open Professor Cezhou Zhao
[email protected]
Deep learning based Person Search
RDF-16-02-23 Open

Dr Jimin Xiao
[email protected]

Intelligent Scene Understanding with Deep Neural Networks
RDF-16-02-25 Open Dr Kaizhu Huang

[email protected]

Energy-Efficient Time Synchronisation and Data Bundling Schemes for Wireless Sensor Networks

RDF-16-02-39 Open

Dr Kyeong Soo Kim
[email protected]

Natural Scene Text Detection and Recognition

RDF-16-02-49 Open

Dr Qiufeng Wang
[email protected]

Entry requirements

We accept a wide variety of academic qualifications for entry onto our PhD programme. Please see our entry requirements for additional information.

How to apply

All applications for a PhD programme should start with you emailing potential supervisors about either a specific funded project or about your idea for a self-funded project.

They can help you with the next stages of the application process and you can also find out more information on our how to apply section.