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Xi'an Jiaotong-Liverpool University (XJTLU) logo

Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University (XJTLU)

Award Attendance Study Duration Start Domestic fees International fees
PhD On-Campus Full-time 3 - 4 years find out ¥80000.00 year per ¥80000.00 year per
PhD On-Campus Part-time 4 - 7 years find out ¥60000.00 year per ¥60000.00 year per
Course fee notes
  • Full-time students

    Currently the tuition fee payable by full-time students on postgraduate research programmes is RMB 80,000 per year. It normally takes three years to complete a full-time PhD programme.

  • Part-time students

    For part-time students, tuition fee payable is RMB 60,000 per year. Part-time PhD study is typically completed in four to seven years.

  • Fee waiver

    Fees are waived for students who are awarded an XJTLU PhD scholarship.

Course 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.

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 projectReference numberStatusSupervisor

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]

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]

Challenge and Limits of Genome Assembly under a Substitution Model

RDF-16-02-35

Open

Dr Siyi Wang
[email protected]

Study on Key Technologies for Energy-Internet-Oriented Microgrids

FSO-16-12

Open

Dr Fei Xue
[email protected]


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