Bournemouth University fully-funded PhD Studentship
Visual Analytics for Evolving Prediction Systems
Bournemouth University – School of Design, Engineering & Computing
The candidate will be fully funded by BU for 3 years, and will work in the UK and overseas.
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). You will be primarily based in the School of Design, Engineering & Computing at BU but will also be required to frequently visit and work at our commercial partners’ labs overseas (REC in Poland and Evonik Industries in Germany). This gives you a unique 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 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.
The project is concerned with the incorporation of expert knowledge and performing of visual analytics through development of novel visualisation approaches and user interaction mechanisms for managing adaptive predictive systems. The studies will focus on efficient removal of complexity associated with selection and parameterisation of underlying algorithms and translation of the high level goals into effective solutions through GUI and visualisation enabled interactions. The development of the interfaces will be consulted with a diverse range of industrial users through envisaged extensive acceptability study. The research in this project will also link to and cover support for transparency of the predictive model decision making and effective visualisation of the overall system, results and decision making process itself.
Applicants should have a background in visualisation or human-computer interaction, demonstrated by a Masters/Bachelors project or industrial experience. You should have a first or upper second class honours degree or equivalent in computer science, software engineering, mathematics, physics, engineering, statistics or a similar discipline. Candidates should also have very strong programming skills using Java and an excellent working knowledge of database systems such as SQL Server or Oracle. Proficiency in or at least a working knowledge of any or the combination of C, C++, C#, Matlab, OSGi, Eclipse, EIP, Apache Camel would be an advantage.
For further details please contact the project supervisor, Prof Bogdan Gabrys: email: firstname.lastname@example.org
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