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EPSRC - School of Engineering and Digital Arts

Funding is available at the current home fee rate of £4,327.00 (rate for 2019/20) together with a maintenance grant of £15,009.00 (rate for 2019/20).

The School of Engineering and Digital Arts conducts high-quality research that has had significant national and international impact with the spread of our expertise allowing us to respond rapidly to new developments. There is a flourishing student population studying for postgraduate research degrees in a supportive teaching and research environment. We are well equipped with state-of-the-art software and experimental laboratory facilities.
We offer a wide range of research disciplines related to Electronic, Communications, Control and Information Engineering. For this year’s EPSRC DTP studentships we are offering 3 studentships and invite applications from candidates interested in undertaking research within our internationally leading research groups

Communications - https://research.kent.ac.uk/communications/research-projects/
One of the PhD studentships will be offered in the area of photonics (such as optical computing and signal processing, ultrafast imaging). Applicants interested in this topic are encouraged to appoint the prospective supervisor Dr Chao Wang - https://www.kent.ac.uk/engineering-digital-arts/people/735/wang-chao 

Intelligent Interactions - https://research.kent.ac.uk/ii/research-projects/   One of the studentships will be offered in area of VR for dementia care. The project will investigate the development and evaluation of VR in care home settings for people with dementia (PWD). Applicants interested in this topic are encouraged to appoint the prospective supervisor Dr Jim Ang https://www.kent.ac.uk/engineering-digital-arts/people/622/ang-chee-siang-jim

Instrumentation and Control - https://research.kent.ac.uk/ic/research-projects/  One of the PhD studentships will be offered in the area of slurry (liquid/solid) flow measurement through sensor fusion, machine learning and data modelling. The project is sponsored by a leading manufacturer of flow metering instruments. Applicants interested in this topic are encouraged to appoint the prospective supervisor Professor Yong Yan https://www.kent.ac.uk/engineering-digital-arts/people/739/yan-yong

Applications are particularly encouraged from applicants wishing to appoint any the prospective supervisors:-

Dr Md Moinul Hossain - https://www.kent.ac.uk/engineering-digital-arts/people/673/hossain-md-moinul

Dr Philippos Assimakopoulos - https://www.kent.ac.uk/engineering-digital-arts/people/815/assimakopoulos-philippos

Dr Robert Horne - https://www.kent.ac.uk/engineering-digital-arts/people/826/horne-robert 

Mechanical Engineering

In addition, we are also offering an additional studentship for applicants wishing to be supervised by either of our newly appointed Mechanical Engineering Reader or Lecturer:-

Dr Mahmood Shafiee – https://www.kent.ac.uk/engineering-digital-arts/people/2948/shafiee-mahmood
Projects include: 3D Design of a Vertical Axis Floating Wind Turbine, Development of AI tools for Autonomous Robotics, Fatigue Life Assessment of Mechanical Systems, Fault Detection and Prognostics of Electromechanical Systems, Digital Twin for Structural Inspection and Repair and Hybrid CFD and FEA model for fluid-structure interaction.

Dr Amir Hosein Sakhaei - https://www.kent.ac.uk/engineering-digital-arts/people/2868/sakhaei-amir-hosein
Data-Driven modelling of metamaterials: The aim of this project is to develop a robust machine learning based framework to model the mechanical behaviour of metamaterials. The output of this project is a valuable tool to be used in innovative and novel product design.

4D printing and Smart Devices: The goal of this project is to investigate the 4D printing concept (3D printing of active materials) and design innovative smart devices and structures usable in different industrial applications.

Macroscale modelling of composite structures: The PhD student will develop a new higher order continuum model and employ it to simulate the macroscale composite structures. The proposed model is capable of capturing manufacturing defects during the forming process and is a valuable tool for composite manufacturing industries.

Partnerships with industry are being formed by prospective supervisors and these will be encouraged in the final allocation of studentships.


We are looking for an excellent student with a good Honours degree (First or 2:1) and, preferably, a Master’s degree at Merit or Distinction in a relevant subject, or equivalent.
Successful candidates will demonstrate academic excellence and outstanding research potential.

How to apply

Apply for an Electronic Engineering PhD uploading a copy of your research proposal together with the name of a prospective supervisor.


7 February 2020, 23:59 GMT

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