Topic: Fully-funded PhD studentship in Meta-Learning
Applications are invited for a 3 year; fully funded PhD research studentship to work on a project entitled "Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems". This project, while fully funded by the Bournemouth University, will be executed in the framework of a large EU funded INFER project (www.infer.eu).
This project combines the study and development of meta-learning approaches and a range of techniques focusing on knowledge acquisition, representation and transfer for effective learning based on solving multiple predictive problems together with the research into complex learning systems analysed at the systems level with a focus on multi-component, multi-level, multi-objective optimisation and mechanisms (i.e. diversity, pool sizes, dynamics of adaptation, interactions, competition versus collaboration etc.).
Approaches inspired in computational neuroscience and nonlinear time series analyses are also consider particularly valuable for this project. Applicants with interests or background in computational neuroscience are very welcome. The student will be joining the Computational Intelligence Research Group within the Smart Technology Research Centre and will be primarily based in the School of Design, Engineering & Computing in Bournemouth but will also be required to frequently visit and work at our commercial partners' labs (REC in Poland and Evonik Industries in Germany) providing an outstanding opportunity to gain a diverse experience of both academic and commercial environments.
The studentship carries a basic remuneration of £13800 pa tax-free and a waiver of the full-time research student fee. There are no restrictions on the nationality of the applicants and the selection will be based on the candidate's qualifications and experience. Applicants should have a very strong mathematical background and hold a first or upper second class honours degree or equivalent in computer science, mathematics, physics, engineering, statistics or a similar discipline. Additionally the candidate should have strong programming experience using any or combination of C++, Matlab or Java.
For further details or questions of any kind please do not hesitate to contact Prof Bogdan Gabrys and Dr Emili Balaguer-Ballester,
e-mail: eb-ballester@bournemouth.ac.uk
E-Mail: bgabrys@bournemouth.ac.uk
and please visit: http://infer.eu/
http://www.zi-mannheim.de/emili_balaguer.html
http://dec.bournemouth.ac.uk/staff/bgabrys/
For applying:
Interested candidates should follow the application procedure listed on the Bournemouth University web pages: http://dec.bournemouth.ac.uk/research/postgraduate_research.html. Further details concerning the studentship and application procedure can be also obtained from the School of Design, Engineering & Computing Research Administrator –Ms Naomi Bailey, Email: nbailey@bournemouth.ac.uk. We kindly ask to send applications as soon as possible, thanks very much!
This email is intended only for the person to whom it is addressed and may contain confidential information. If you have received this email in error, please notify the sender and delete this email, which must not be copied, distributed or disclosed to any other person. Any views or opinions presented are solely those of the author and do not necessarily represent those of Bournemouth University or its subsidiary companies. Nor can any contract be formed on behalf of the University or its subsidiary companies via email.
No comments:
Post a Comment