Research Assistant (H2020 Proteus Project) (Fixed-term)
Bournemouth University - Department of Computing
|Salary:||£20,400 to £25,023|
|Placed on:||11th October 2016|
|Closes:||3rd November 2016|
|Job Ref:||FST152 / 504830|
Starting salary from £20,400 - £22,912 per annum with further progression opportunities to £25,023
The Department of Computing at Bournemouth University is looking for a Research Assistant to work in the area of Machine Learning and Data Mining for Big Data. This post is part of the EU-funded H2020 project: Scalable online machine learning for predictive analytics and real-time interactive visualization (PROTEUS) [http://www.proteus-bigdata.com/] 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 a talented and enthusiastic candidate with excellent analytical, communication and scientific writing skills. You will have strong analytical background in Machine Learning and Data Mining, preferably in online (supervised and unsupervised) learning applied to data streams. You will also need to have very good Java/Scala programming skills, and good experience with Big Data streaming platforms and the associated computing models.
This post is available for up to 12 months on a fixed-term contract basis.
Please direct your queries to Dr Hamid Bouchachia via email to: email@example.com
A detailed job description and person specification are available from our website together with an online application form. Alternatively, please telephone 01202 961130 (24 hour answerphone) quoting the appropriate reference.
Closing date: (Midnight) 3 November 2016
Interview date: To be confirmed
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South West England