PhD Positions

1. Tomographic temperature imaging at aero-engine combustor exit with high spatial resolution(FILLED)

Description

The PhD candidate will work closely with industrial partners, to develop tomographic optical sensors targeting mm-level spatial resolution. The candidate will also be trained with advanced imaging techniques aided by machine learning. Please see the school website for more detailed information.  

 

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. Enthusiastic and self-motivated candidates are sought with a background in Electrical and Electronic Engineering and Mechanical Engineering.

 

​Funding

Tuition fees and stipend are available for Home/EU students (International students can apply, but the funding only covers the Home/EU fee rate). The applicants are also encouraged to apply for the University of Edinburgh Scholarships or China Scholarships Council/University of Edinburgh Scholarship.​

Supervisors

Principal supervisor: Dr. Chang Liu       

Co-supervisor: Dr. Brian Peterson

Informal enquiries can be directed to C.Liu@ed.ac.uk

2. Robotic aided hazardous gas detection using laser absorption spectroscopy (OPEN)

Description

The PhD candidate will be trained to design optical sensors and develop control algorithms for the robotics, aiming at fast recognition of the hazardous gas source with robotic arm-aided laser absorption spectroscopic sensor. Please see the school website for more detailed information.  

 

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. Enthusiastic and self-motivated candidates are sought with a background in Electrical and Electronic Engineering and Mechanical Engineering.

 

​Funding

Self-funded applicants with a good track record are welcome to apply. The applicants are also encouraged to apply for the University of Edinburgh Scholarships or China Scholarships Council/University of Edinburgh Scholarship.​

Supervisors

Principal supervisor: Dr. Chang Liu       

Co-supervisor: Dr. Adam Stokes

Informal enquiries can be directed to C.Liu@ed.ac.uk

3. Machine learning aided engine exhaust tomographic imaging (OPEN)

Description

The PhD candidate will work closely with academic and industrial partners to develop machine learning and deep learning image reconstruction algorithms for engine diagnosis, aiming at rapid imaging the engine exhaust emissions. The candidate will also be trained with machine learning, image reconstruction and laser absorption spectroscopy. Please see the school website for more detailed information.  

 

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. Enthusiastic and self-motivated candidates are sought with a background in Electrical and Electronic Engineering and Mechanical Engineering.

 

​Funding

Self-funded applicants with a good track record are welcome to apply. The applicants are also encouraged to apply for the University of Edinburgh Scholarships or China Scholarships Council/University of Edinburgh Scholarship.​

Supervisors

Principal supervisor: Dr. Chang Liu       

Co-supervisor: Dr. Mehrdad Yaghoobi

Informal enquiries can be directed to C.Liu@ed.ac.uk

4. Mid-infrared laser absorption sensors for gas turbine monitoring  (OPEN)

Description

The PhD candidate will work closely with industrial partners, to develop MIR sensors suitable for the harsh operating conditions of the gas turbine, aiming at accurately detection of pollutant emissions. The candidate will also be trained with  in situ sensor design and advanced signal processing. Please see the school website for more detailed information.  

 

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. Enthusiastic and self-motivated candidates are sought with a background in Electrical and Electronic Engineering and Mechanical Engineering.

 

​Funding

Self-funded applicants with a good track record are welcome to apply. The applicants are also encouraged to apply for the University of Edinburgh Scholarships or China Scholarships Council/University of Edinburgh Scholarship.​

Supervisors

Principal supervisor: Dr. Chang Liu       

Co-supervisor: TBD

Informal enquiries can be directed to C.Liu@ed.ac.uk

PDRA Positions

1. Full-time postdoctoral position for H2020 CleanSky2 CIDAR project (FILLED)

Description

We seek an outstanding postdoctoral research associate to participate in the development of a high-speed data acquisition system for an optical chemical species tomography prototype instrument. This project is part of a broader effort to develop quantitative tomographic imaging for the exhaust plumes of commercial jet engines involving a consortium of academic and industrial partners funded under the H2020 CleanSky2 CIDAR project. We seek candidates with substantial proven experience in digital electronics and instrumentation of measurement systems, preferably of an optical nature, with good communication skills and capable of working as part of a multidisciplinary team. The post will be based at the School of Engineering and the Institute for Digital Communications at the University of Edinburgh, and will involve some travel for interaction with partners within the UK and Spain. The successful candidate will report to Dr Nick Polydorides, as the Edinburgh Principal Investigator, as well as the partners and coordinator of the CIDAR project according to the project schedule. 


This post is full-time, fixed term for 18 months and is available from 1st October 2018. 
 

You can download the PDRA advert for more detailed information.  

 

Job Purpose

To participate in the development of an existing Chemical Species Tomography system to perform robustly at Technology Readiness Level 6 (TRL6).

Application procedures

All applicants should apply online by clicking the apply link at the bottom of this page and submitting an up to date CV. The application process is quick and easy to follow, and you will receive email confirmation of safe receipt of your application. The online system allows you to submit a CV, and other attachments including 2 reference letters.
We anticipate interviews will be held in the week commencing September 24th, 2018. You will be notified by email whether you have been shortlisted for interview or not.


The closing date is 12 noon GMT on 28th September 2018.

​Salary

The role is grade UE07 and attracts an annual salary of £32,548 to £38,833 for 35 hours each week. Salary is paid monthly by direct transfer to your Bank or Building Society account, normally on the 28th of the month. Salaries for part-time staff are calculated on the full-time scales, pro-rata to the Standard Working Week.

Supervisors

line manager: Dr. Nick Polydorides    

Co-investigator: Dr. Chang Liu   

Informal enquiries can be directed to N.Polydorides@ed.ac.uk or C.Liu@ed.ac.uk

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