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Rick Davies (Dr), Monitoring and Evaluation Consultant, Cambridge, United
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On Thu, Mar 23, 2017 at 1:25 PM, Luca Rossi <[log in to unmask]> wrote:

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> *Fully funded PhD studentship (4 years) in Aston University, UK*
> igms-for-the-analysis-and-classification-of-non-vectorial-data/
> Applications are invited to apply for a four year Postgraduate Research
> studentship, supported by the School of Engineering and Applied Science, to
> be undertaken within the Computer Science subject group at Aston
> University. The successful applicant will join the recently established
> System Analytics Research Institute (
> search/groups/systems-analytics-research-institute/).
> This studentship is combined with a teaching assistant role. The
> successful candidate will be required to provide up to an average of 6
> hours per week of teaching support for a distance learning programme;
> therefore the student must be capable of teaching on an undergraduate
> course in Software Engineering. Details of teaching responsibilities and a
> list of taught modules can be found here.
> The position is available to start in September 2017 (or later by
> agreement)
> *Financial Support*:
> This studentship includes a fee bursary to cover the Home/EU tuition fee
> rate plus a maintenance allowance of £15,000 in 2016/17.
> Applicants from outside the EU may apply for this studentship but will
> need to pay the difference between the ‘Home/EU’ and the ‘Overseas’ tuition
> fees, currently this is £11,729 for the 2016/17 academic year. As part of
> the application you will be required to confirm that you have applied for,
> or, secured this additional funding.
> *Background of the Project*:
> Graph-based representations have long been used as a powerful way to
> characterise a large number of systems that are best described in terms of
> their structure. However, the rich expressiveness of graphs usually comes
> at the cost of an increased difficulty in applying standard pattern
> recognition techniques and machine learning to them.
> The aim of this project is to investigate novel ways to probe and
> characterise the structure of graphs. For example, in recent years,
> classical and quantum walks have emerged as a powerful way to measure the
> structural similarity between graphs and to define novel vertex signatures.
> However other processes, such as quantum walks with decoherence, have
> received little or no attention, despite having a number of unique and
> interesting properties.
> Other open problems that could be the subject of this project are the
> ability to cope with increasingly large and diverse input graphs
> (time-varying, multi-layer, etc.), as well as investigating the privacy
> concerns emerging in the analysis of real-world networks.
> *Person Specification*:
> The successful applicant will have a strong undergraduate (first class or
> upper second class) and/or Master’s degree in computer science,
> engineering, mathematics, physics or a related discipline as well as
> excellent programming and analytical/mathematical skills. Applicants with
> expertise and research interests lying at the intersection of graph theory,
> pattern recognition, and physics are particularly welcome to apply.
> Applicants from non-English speaking countries will need to satisfy Aston’s
> English language entry requirements.
> Enquiries about this project contact Dr. Luca Rossi (
> <>)
> by email: [log in to unmask]
> The online application form, reference forms and details of entry
> requirements, including English language are available at
> students/how-to-apply/
> *Applications should also be accompanied by a brief research proposal, and
> an explanation of how your knowledge and experience will benefit the
> project.*
> --
> Luca Rossi
> Lecturer in Computer Science
> School of Engineering and Applied Science
> Aston University
> Web:
> <>
> _____________________________________________________________________
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