Smart Technology Research Centre / Computational Intelligence Research Group

School of Design, Engineering and Computing,

Bournemouth University, United Kingdom

Applications are invited for a 3 year, fully funded PhD research studentship to work on a project entitled "Handling Multiple Adaptive Elements in Predictive Modelling with Streaming Data". 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).

Adaptive learning in data mining is of increasing importance as more data is organized in the form of streams rather than static databases and is expected to evolve over time. As data is changing, predictors need to be able to update themselves automatically, otherwise, as time passes, they will become inaccurate and thus useless. The proposed project will focus on how to make the prediction models automatically adaptive to changes. This project aims to develop such integrated adaptive/learning algorithms and approaches working on different time scales from real time adaptation to life long learning and optimisation within multi-component, multilevel predictive systems developed as part of the INFER project.

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 please visit http://dec.bournemouth.ac.uk/staff/bgabrys/PhD_Studentships_2011.html.

Interested candidates should follow the application procedure listed on the Bournemouth University web pages: http://www.bournemouth.ac.uk/research/studentships/how_to_apply.html.

Applications  are  invited  for  a  3  year,  fully  funded  PhD  research  studentship  to  work  on  a  project  entitled  "Design  of Effective User Interfaces for Incorporation of Expert Knowledge, Visualisation and Decision Making in the Context of 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  research  project  is  concerned  with  the  incorporation  of  expert  knowledge  and  usability  of  the  developed  INFER platform  through  design  of  effective  user  interfaces.  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  enabled  interactions.  The  development  of  the  interfaces  will  be  consulted  with  the  end  user  (i.e.  process operators) 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. 

 

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,  software  engineering,  mathematics,  physics,  engineering,  statistics  or  a  similar  discipline. Additionally  candidates  should  have  very  strong  programming  skills  using  Java  and  an  excellent  working  knowledge  of database systems like SQL Server or Oracle. Proficiency in or at least working knowledge of any or the combination of C, C++, C#, Matlab, OSGi, Eclipse, EIP, Apache Camel would be an advantage.