Fixed-term for a period of 12 months with a start date of January 2016
Grade 7: £29,552 to £33,242 per annum
Closing date: 5th October 2015
The ‘BetterCrowd’ project is funded through the First Grant scheme of the Engineering and Physical Sciences Research Council (EPSRC). The aim of the project is to improve Human Computation (HC) quality and scalability for Big Data processing. It will address the fundamental scientific challenge of understanding how humans and machines can better interact and collaborate in computation problems. The findings will make it possible to deal with more complex Big Data analytics problems. While most current Big Data solutions focus on volume, this project aims to improve HC to make it applicable to the analysis of heterogeneous data with variable quality.
You will undertake research in two areas. You will first look at how to improve crowdsourcing effectiveness by proposing novel techniques to detect malicious workers in crowdsourcing platforms. Secondly, you will make HC techniques scale so that they can be applied to larger volumes of data focusing on scheduling tasks to the crowd.
You should hold a PhD or equivalent experience in Computer Science or a related discipline and knowledge of programming languages. You should have effective communication and interpersonal skills and proven ability in writing up research for publication.
Further information and our application form are available online.
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