Connectionists: Fully funded PhD position on temporal graph analysis

[Luca Rossi]

Fully funded PhD studentship in Aston University, UK
http://www.jobs.ac.uk/job/ANN781/modelling-and-analysis-of-temporal-graphs/

Applications are invited for a three year Postgraduate studentship,
supported by the School of Engineering and Applied Science, to be
undertaken within the Computer Science Research Group at Aston University.
The successful applicant will join the recently established System
Analytics Research Institute. The aim of the Institute is to become a
leading centre for research in applicable methods for extracting
exploitable knowledge from huge amounts of interconnected, multi-scale and
multivariable data and relating this knowledge to the underlying system
that generates the data.

The position is available to start in October 2016 (subject to negotiation)

Financial Support:
This studentship includes a fee bursary to cover the home/EU fees rate plus
a maintenance allowance (£14,296 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
(approximately £12,000 per annum). 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:
The analysis of network structure has attracted significant attention due
to its fundamental importance in understanding the dynamics and functioning
of a large number of complex systems. Although it is common practice to
study static graphs, many systems are actually intrinsically dynamic, and
therefore require a more expressive representation. For example, the
structure of a social network is constantly evolving, with new nodes (i.e.,
users) being added to the network and new connections (i.e., social ties)
being created and destructed. The goal of this project is to study temporal
graphs and their use in structural pattern recognition and network science.
You will develop a series of techniques for the analysis of temporal
graphs, including generative models, complexity and similarity measures.
This is an exciting opportunity to conduct ground-breaking research at the
interface between pattern recognition, graph theory and network science.

Person Specification:
The successful applicant should have a first class or upper second class
honours degree or equivalent qualification in Computer Science,
Mathematics, Statistics, Physics or a related discipline. Preferred skill
requirements include knowledge/experience of structural pattern recognition
and/or network science.

We would particularly like to encourage applications from women seeking to
progress their academic careers. Aston University is committed to the
principles of the Athena SWAN Charter, recognised recently by a prestigious
Silver Award to EAS, and we pride ourselves on our vibrant, friendly and
supportive working environment and family atmosphere.

For informal enquiries about this project and other opportunities within
the Computer Science Research Group, contact Dr Luca Rossi (
http://www.cs.aston.ac.uk/~rossil/ <http://www.cs.bham.ac.uk/~rossil/>) by
email l.rossi at aston.ac.uk.

The online application form, reference forms and details of entry
requirements, including English language are available at
http://www.aston.ac.uk/eas/research/prospective-research-students/how-to-apply/
.

Applications must also be accompanied a statement on the main themes of the
research, explaining how your knowledge and experience will benefit the
project.

-- 
Luca Rossi

Lecturer in Computer Science
School of Engineering and Applied Science
Aston University
Web: http://www.cs.aston.ac.uk/~rossil/ <http://www.cs.bham.ac.uk/~rossil/>
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