Tomographic Laser Imaging of Gas Turbine Engine Exhaust

Gas turbine engines (GTEs) are meeting ever-increasingly stringent emission requirements on the concentrations of toxic compounds, minimising the adverse environmental effects of civil aviation activities. Since access to the combustion chamber on a running gas turbine is severely limited, combustion diagnosis on the gas turbine exhaust plumes, which provides direct information of engine emission, is highly desirable for characterising and understanding the combustion system performance.

Near-/mid-infrared laser absorption spectroscopy (LAS) has been widely used for line-of-sight measurement of temperature and multiple gas concentrations along the laser beam. In combination with tomographic techniques, i.e. LAS tomography, it provides a sensitive and fast-response imaging solution for GTE exhaust.

The objectives of this PhD projects are:

  1. Tomographic optical sensor design towards high spatiotemporal resolution.
  2. Robust and cost-effective instrumentation design and tomographic signal processing
  3. Experimental validation of the sensor on GTE exhaust imaging.

During the project, the PhD candidate will be trained to design novel opto-electronic and opto-mechanical systems to access the target measurement zones. In addition, the PhD candidate will deploy advanced tomographic algorithms to achieve high-fidelity image reconstruction. In collaboration with the industrial partner, the designed sensor and system will be finally employed for GTE exhaust imaging. The candidate should also be confident with trouble-shooting and collaborating with industrial partners in the experiment tests.

In addition, the successful candidate will have the opportunity to work closely with industrial and academic partners, to present innovative results in international conferences, to publish high-impact journal papers, and, eventually, to deliver advanced laser-based technology for GTE monitoring.

Technical Queries directed to Dr Chang Liu on

Please note the deadline for this position is the 17th May 2020 or until the position is filled. 

Further Information: 

Closing Date: 

Sunday, May 17, 2020

Principal Supervisor: 

Dr Chang Liu

Assistant Supervisor: 

Prof Hugh McCann


Minimum entry qualification - an Honours degree at 2:1 or above (or International equivalent) in a relevant science or engineering discipline, possibly supported by an MSc Degree. Further information on English language requirements for EU/Overseas applicants.

Applicants must have a degree in a relevant science or engineering discipline, possibly supported by an MSc Degree.


Further information and other funding options.

Tuition fees + stipend are available for Home/EU students (International students can apply, but the funding only covers the Home/EU fee rate)

Informal Enquiries: