PhD Studentship Assessing and Optimising Human-Machine Symbiosis through Neural signals for Big Data Analytics

Applications are invited for the above PhD studentship which is a collaborative project between the University of Ulster and INRIA Bordeaux – Sud-Ouest and LabRI, University Bordeaux, France. Candidates should hold a first or upper second class honours degree in Computer Science, Electronic Engineering, Biomedical Engineering, Computational Neuroscience or a cognate area. Successful candidates will enrol as of 1st October 2013, on a full-time programme of research studies lasting four years leading to the award of the degree of Doctor of Philosophy.

The PhD candidate (UK or French nationals only) will be expected to spend up to two years at INRIA Bordeaux – Sud-Ouest and LabRI, University Bordeaux, France and will have one or more co-supervisors based at INRIA along with 3 supervisors at Ulster. Given this, applicants should have, or demonstrate a plan to develop, strong English and French language skills.

The studentship will comprise fees (Home and EU) and an annual stipend of £13,726. It will be awarded for a period of up to four years subject to satisfactory progress and is tenable in the Faculty of Computing and Engineering at the Jordanstown Campus, University of Ulster.

The funding and admission to PhD are subject to DSTL Security Office vetting.

The closing date for receipt of completed applications is 18th August 2013

Interviews will be held late August/early September 2013

If you wish to receive advice on the research topic please contact:

Also Read  Masters in English and Masters in History by Research Studentship

Dr Damien Coyle, Faculty of Computing and Engineering, University of Ulster.
Tel/Fax: +44 (0)28 7167 5170/5570



Dr Fabien Lotte, INRIA Bordeaux – Sud-Ouest and LabRI, Potiac Team, University Bordeaux.
Tel/Fax: +44 (0)28 7167 5170/5570


For further information on the application process please visit our website:

Apply online via the Apply button below and all supplementary documents uploaded onto the System.

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