2 PhD Studentships in Machine Learning for Big Data at Bournemouth University (United Kingdom)

The Department of Computing at Bournemouth University (United Kingdom) has 2 open PhD positions in the area of Machine Learning and Data Mining for Big Data.
These positions are part of the EU-funded H2020 project: Scalable online machine learning for predictive analytics and real-time interactive visualization (PROTEUS) which explores the development of original research on online machine learning for Big Data. PROTEUS investigation and development results will be evaluated and validated in an industrial setting on-site provided by the world largest steel producer, ArcelorMittal - Spain. In a nutshell PROTEUS aims at developing:
− New strategies for real-time hybrid computation, batch data and data streams
− Real-time scalable machine learning for massive, high-velocity and complex data streams
− Real-time interactive visual analytics for Big Data
− Targeted implementation of the algorithms for Apache Flink
− Real-world industrial validation of the project outcome
We are seeking talented and enthusiastic candidates with excellent analytical, communication and scientific writing skills. Candidates must have strong analytical background in Machine Learning and Data Mining, preferably in online learning applied to data streams. They also need to have very good Java/Scala programming skills, and good experience with Big Data streaming platforms and the associated computing models. The selected candidates are expected to contribute to the generic research and the dissemination activities.
PhD candidates must hold a University degree (MSc) in Machine Learning, (Applied) Mathematics, Statistics, or Engineering and are expected to demonstrate outstanding qualities and be motivated to complete their PhD in 3 years. An IELTS score of 6.5 minimum (or equivalent) is essential for candidates for whom English is not the first language.
Terms of employment
− The appointment is for 3 years
− A gross salary of £20198 (~€28000) per year. The registration fees are waived for 36 months
− Great support for your personal development and career planning including courses, summer schools, conference visits, etc.
− A broad package of fringe benefits (e.g. health insurance, child daycare, excellent technical infrastructure and sports facilities).

Funding information

Funding applies to:

Open to applicants from a range of countries

Contacts and how to apply

Administrative contact and how to apply:

This post is open to both EU and International candidates. Please direct your queries and application to Dr Hamid Bouchachia abouchachia@bournemouth.ac.uk. To apply, please send:
− A letter motivating the application.
− A detailed CV focussing on education, research experience and the list of publications if any.
− Transcripts of academic records.
Deadline for applications is December 15, 2015.
For further information and to download the application form, please click here