|Funding for:||UK Students, EU Students|
|Funding amount:||£14,777 per annum|
|Placed On:||24th July 2018|
|Closes:||10th September 2018|
Contract Type: Fixed Term
Closing Date: 10 September 2018
Supervisor: Dr Jens Christian Claussen
Start date: October, January, April or July. (Subject to negotiation).
Applications are invited for a three year full-time Postgraduate studentship, supported by the School of Engineering and Applied Science, to be undertaken within the System Analytics Research Institute and the Non-linearity and Complexity Research group at Aston University.
This studentship includes a fee bursary to cover the home/EU fees rate, plus a maintenance allowance of £14,777 in 2018/19 (subject to eligibility).
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 £12,290 in 2018/19.
Background to the Project
How does the complexity of the interaction topology contribute to the complexity of the dynamics in coupled adaptive systems? Major complex adaptive systems that have evolved in nature are: (i) the mammalian brain displaying function-specific topological structures albeit being composed of large numbers of mostly similar units, (ii) metabolic interaction networks that optimize processing of nutrients, and (iii) ecological networks formed by interacting species which adapt to the environment. In all three cases, the evolved interaction networks provide optimality and resilience often superior to simpler graph structures as regular lattices or random graphs.
The project intends to shed light on the functional contribution of the complexity of the network topology by comparing each one standard model from two of these classes of systems, along methodical lines:
The successful applicant should be able to demonstrate strong research potential in application and interview, should have or expect to have a first class honours degree or equivalent qualification in Physics, Mathematics or a closely related discipline, and/or a Masters degree in a project related subject. As the project involves both analytic and numerical research, reasonable extent of both mathematical and programming skills are expected. Candidates that bring in project relevant expertise, e.g., computational systems biology, mathematical neuroscience, delay systems and control, stochastic processes, theoretical biology or statistical physics, are especially welcome.
For informal enquiries about this project and other opportunities within the System Analytics Research Institute and the Non-linearity and Complexity Research group, contact Dr Jens Christian Claussen by email firstname.lastname@example.org.
For further information about the application process and details of how to apply, please visit the Aston University website here.
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