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  Cyber-physical Design for Robotic Systems -- Supported by the Artigent Young Talent Scholarship (AYTS) Award 2017 (R3)


   Engineering and Built Environment

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  Prof Don McGlinchey, Prof B Peng  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Reference Number: SEBE_AYTS_R3

Applications are invited for a full-time PhD research studentship supported by AYTS Award 2016 within the School of Engineering and Built Environment at Glasgow Caledonian University (GCU). The AYTS award will provide support of £27,000 per annum, including the tuition fee at £15,000 per year and life expenses £1000 (net) per month during your PhD study for three years. It is a condition of the AYTS that you should be available to commence your degree programme in October 2017. The Scholarship is payable for 36 months subject to satisfactory annual progress.

Project Description
Design and manufacture are critical for the world's economy and reflect the most innovative and creative activities in business. A rising demand has been seen in the requirement of increasing design and manufacture efficiency, shortening the time-to-market, enhancing design and manufacture flexibility and cost-cutting. This fundamental research at GCU on a ‘push button’ solution through the development of a cyber-physical platform for future design and manufacture automation, which includes: demand data mining → cyber-physical push button solution → manufacturing → end-user; is sponsored through a major investment by Artigent, a fast growing research intensive robotics company.

The overall objectives of the 36 month project is:
1) To develop a Cyber-Physical (C-P) Platform via a computational intelligence aided design (CIAD) framework for design and manufacture automation;
2) To promote the proposed C-P platform, this research is to build a robotic system, such as a micro air vehicle (MAV) system, using the proposed platform.
3) To perform research on key challenges, such as pattern recognition, and apply them as key techniques, e.g. human factor applications or to smart systems building.

The output of this project will be a step change towards the autonomous design and manufacture for the future, which will bring not only impact in a wide range of multi-disciplinary fields, such as science, technology, engineering and mathematics (STEM), life science and social science, etc., but also will foster a shared culture of knowledge integration between academic and industrial partners, generate creativity and entrepreneurship, and help to turn creative ideas into innovative products, services or processes.

Candidates are expected to demonstrate an excellent academic background and research record, preferably have some industrial experience and academic publications, and be self-motivated with the ability to drive forward new research ideas.

For further details candidates can contact:
Dr Leo Chen, at [Email Address Removed]
Professor Don McGlinchey, at [Email Address Removed]
or Professor Bei Peng, at [Email Address Removed]

How to Apply
Applications must be submitted to Glasgow Caledonian University. The PhD application form is available here http://www.gcu.ac.uk/research/postgraduateresearchopportunities/ under “How to Apply”. The completed application form must be submitted to [Email Address Removed] along with the following documentation: (Please note reference ‘SEBE_AYTS_R3’ on the application form)

1) CV: A full CV including University degree & dates, past & present posts, and a full list of publications;
2) Cover letter: A cover letter to state clearly why your background can support your application and why you should be one of the best candidates.
3) Research Plan: A research plan and objectives of your 3 years work, indicating what you see as interesting research issues relating to this post, SMART plan and work plan for publication and proposal development.
4) Full papers of three best publications of yours (including early online publication);
5) Two academic references;
6) Other supporting material, such as awards, patents, detailed project experience, personal statement, etc.


Closing date is 1-July-2017 @ 24:00.
Anticipated Interview Date: Early Aug 2017

 About the Project