One funded PhD position in Big Data Analytics, University of Surrey, UK

Applications are invited for a 3-year Ph.D. project hosted in the Department of Computing, University of Surrey, UK.

Supervisor: Dr Norman Poh
Co-supervisor: Dr David Windridge

Due to technological advances, addressing the growth in the size of data sets used by science, medicine and industry has become an increasingly central concern. In this PhD, the candidate will work towards advancing machine-learning and data-mining algorithms for processing big data by addressing some or all of the following issues: handling of sampling bias and structural noise, handling of under-sampled and miss-labelled data; handling of covariates or confounding factors; exploitation of temporal logics; and finally, efficient retrieval of related data queries. The techniques developed will be applied to a number of application domains, including healthcare records, bioinformatics, business data, and data collected from ubiquitous sensing.

The candidate will contribute towards building a critical mass of strategic competency in data analytics within the Computing department, and will work in a multidisciplinary team involving clinicians and IT engineers.
Required experience and qualifications:
– Masters-level degree in computer science, mathematics, statistics, or machine Learning; or equivalent research/industrial experience in data analysis
– A good command of English, as well as open-mindedness and the will to collaborate within a team

Additional desirable features:
– A record of peer-reviewed publication
– Evidence of system implementation
– Knowledge of statistical packages and high-level programming such as Matlab, R, and Python
– Knowledge of databases and SQL

The candidate will receive Home or EU fees (currently £3,828) and a tax-free maintenance grant of per annum (currently £11,400). Non-EU students are expected to be in a position to cover the difference between the Home and Overseas Fees (currently £14,400). The studentship should be taken up no later than 1 July 2013. If you are interested, please apply as soon as possible.

For full details and informal discussions, please refer to Dr Norman Poh’s website: and click the vacancy tab.
To apply, please email normanpoh(at) with a CV, and relevant supporting materials such as transcripts, research reports, and publications. Candidates with no previous research experience may be asked to sit a short written examination. Shortlisted candidates will then be asked to apply formally through the link: