PhD Studentship Design and implementation of a non-invasive EEG-based brain-actuated hovercraft
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PhD Studentship Design and implementation of a non-invasive EEG-based brain-actuated hovercraft

This is a call for applications for a funded PhD studentship in the Artificial Intelligence and Control Group (AICG) at the School of Engineering, University of Lincoln, to study a non-invasive EEG-based brain-actuated hovercraft.

The overall aim of the proposed PhD project is to build a non-invasive EEG-based brain-actuated hovercraft. The modified hovercraft with the thrust vectoring system as its propulsion system will be dictated by mind to demonstrate the control of the vehicle around a small indoor course allowing the development of a suitable man-machine-interaction (MMI). To this aim, four respective themes are to be investigated: a) design and implementation of a low-cost demonstration platform; b) brain signal acquisition and the operating protocol; c) brain signal processing, involving feature extraction and translation; and d) design and implementation of interfaces from/to (a) and system integration. The ultimate goal of this project is to produce a functioning hovercraft propelled by the thrust vectoring system and a suitable control paradigm which can work with the EEG software interface. Successful implementation of this project shall open a door for understanding the coordination between human command and control algorithms. It could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.

Candidates should have an honours degree (minimum 2.1) or a Master's degree in engineering, a physical science or mathematics and be able to demonstrate strong analytical skills. The successful candidate will preferably have a background in related areas to mechatronics and aerospace propulsion. Electrical systems knowledge would also be an advantage, as would experience with feature extraction and classification. Good laboratory and cross-disciplinary skills are also required. The project is running in support of a number of related aerospace and energy projects, in particular the EU FP7 EU FP7 ACHEON project. The successful candidate will work closely with the researchers for this project.

The three year studentship will cover student fees (up to the value of UK fees) and give a tax-free stipend of £10,000 per annum, and is available to candidates of all nationalities. There are further opportunities within the School for the successful candidate to supplement the tax-free stipend.

Informal enquiries can be made by e-mail to Dr. Jun Chen via: juchen@lincoln.ac.uk.

An application form can be obtained from the Apply link below.

To apply please email the following documents to: engineeringenq@lincoln.ac.uk

  • Completed Application Form
  • CV
  • Three Reference Letters
  • Research Statement

The closing date for applications is : Wednesday 18th September 2013.

Interviews will take place early October 2013, with a start date of late October/early November 2013.

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