Chaotic systems have recently become of interest to machine learning specialists, producing a range of novel insights and interactions between the two areas of academic study, and creating what is a ‘hot topic’ in research. The supervisors have a unique combination of research skills within the RI in the analysis of chaotic systems and the use of machine learning techniques.
Recent research has shown that machine learning techniques can be applied to the classification and replication of chaotic behaviour in dynamical systems. This has been a very surprising development as in the past chaotic systems have been characterised by their lack of predictability and the need for a detailed knowledge of the underlying dynamical equations to allow a replication their behaviour.
This project will investigate the capabilities of machine learning techniques to both classify and replicate the behaviour of discrete time dynamical systems which are based on coupled map lattices. The aims are to test the success of machine learning techniques, as both the dimensionality of the lattice increases and the underlying maps are varied.
Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.
We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master’s Degree with Distinction.
In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.
The University offers the following levels of support:
Full award (full-time PhD fees + DfE level of maintenance grant + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees and provide the recipient with £18,000 (tbc) maintenance grant per annum for three years (subject to satisfactory academic performance).
This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
Part award (full-time PhD fees + 50% DfE level of maintenance grant + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees and provide the recipient with £8,000 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
Fees only award (PhD fees + RTSG for 3 years).
This scholarship will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £18,000 (tbc) per annum for three years (subject to satisfactory academic performance).
This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Due consideration should be given to financing your studies. Further information on cost of living
W.A.S. Barbosa & D.J. Gauthier, Learning spatiotemporal chaos using next-generation reservoir computing, Chaos, 32, 093137, (2022).
M. Sangiorgio, F. Derole & G. Guariso, Forecasting of noisy chaotic systems with deep neural networks, Chaos, Solitons & Fractals, 153(2), 111570, (2021).
N. Boulle, V. Dallas, Y. Nakatsukasa & D. Samaddar, Classification of chaotic time series with deep learning, Physica D, 403, 132261, (2020).
Submission deadline
Monday 27 February 2023
04:00PM
Interview Date
week commencing 17 April 2023
Preferred student start date
18 Sept 2023
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