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The three-year PhD programme within the Department of Computer Science and Software Engineering gives suitably-qualified students the chance to address important problems and challenges in computing.

The programme:

  • develops your understanding of the research process and your ability to analyse and constructively augment a particular research area
  • provides you with experience of communicating research results in written and oral form
  • equips you with advanced knowledge and research skills that are relevant to both academia and industry.

We provide high-calibre, discipline-specific training that takes advantage of XJTLU's distinctive international features and vibrant research environment.

The programme 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.

Please check the FAQ for further information about studying for a PhD at XJTLU.

Potential supervisors

Find out potential supervisors from Department of Communications and Networking.

Find out potential supervisors from Department of Computing.

Find out potential supervisors from Department of Electrical and Electronic Engineering.

Find out potential supervisors from Department of Intelligent Science.

Find out potential supervisors from Department of Mechatronics and Robotics.

Find out potential supervisors from School of AI and Advanced Computing/ School of Internet of Things, XJTLU Entrepreneur College (Taicang)


Apply for a scholarship for a funded PhD project

You can apply for an existing PhD project which has received funds from the university or external funding bodies. These projects have an established research topic and a formed supervisory team.

There is no specific application deadline to each project, which will be open until the position is filled. The start date of a PhD programme is normally the first day of March, June, September, or December. The Department has the following funded PhD projects available (this list is regularly updated):

Title of PhD project Reference number Status Supervisor

Machine consciousness based on multi-sensor fusion

FOS2112JP02 Open Steven Guan

Neuron-Symbolic Technology of Dynamic Transportation Perception

FOS2112JP03 Open Steven Guan

Novel OLED Pixel Driving Circuit Design

FOS2003JO01 Open Dr. Hai-Ning Liang

The embedded software integration of micro display

FOS2003JO06 Open Dr. Hai-Ning Liang

Multi-target detection and tracking technology based on millimeter wave radar and machine learning

FOS2007JP02 Open Dr. Ka Lok Man

Learning to Rank for Web Searching

PGRS2012011 Open Dr. Xiaobo Jin

Stochastic variants of the Abelian sandpile model

PGRS2012026 Open Dr. Thomas Selig

Research on smart radar for physical sign detection

FOS2104JP03 Open Prof. Ka Lok Man

Radar signal processing based on neural network sequence model

FOS2104JP05 Open Prof. Ka Lok Man

Antenna design based on machine learning

FOS2104JP06 Open Prof. Ka Lok Man
Developing Biomimetic Fibrous Scaffolds Using Machine Learning for Enhanced 3D Cell Culture FOSA2106026 Open Dr. Jie Sun
Loading capacity prediction and multi-objective optimization design of smart lattice structures FOSA2106040 Open Dr. Min Chen
Traffic State Prediction and Dynamic Traffic Control Strategy Development for Connected and Automated Vehicles FOSA2106053 Open Dr. Shangbo Wang
Spatial Interaction for Data Exploration FOSA2106036 Open Dr. Lingyun Yu

The Constitutive Law Establishment of Advanced High Strength Steel based on Machine Learning


Open Dr. Rui Yang