UK/EU students

PhD Studentship in Computer Science - Visualization of Heterogeneous Multi-Source Data

Value of award

100% of UK/EU tuition fees and an annual stipend of £14,553 (full award)

Number of awards


Start date and duration

January 2018 for three years.

Application closing date

20 December 2017.


This project will develop novel methods for interactive visualization and analysis of heterogeneous data from multiple sources.

In today’s era of big data, the most challenging and important tasks is to extract informative and valuable knowledge from the constantly increasing data deluge. There is a great need of efficient and usable analysis tools that support gaining of insight and address data analysis challenges. Data visualization utilize methods from HCI, computer graphics, data mining and other data science areas to support knowledge generation and bridge the gap between data and user.

A major challenge in big data analysis is the integrative analysis of heterogeneous data that is gathered from multiple sources. These data may be of different types, collected at different levels of detail and from different application domains; and it is expected that the integrative analysis across datasets may lead to greater insight. Such data is common in areas such as climate and weather research, combining for instance temperature data, pollution levels and demographical data, or bio-medical domains where data as diverse as genome sequences and environmental data may need to be combined.

Within this project you will develop and implement state-of-the-art visualization methods to support analysis of diverse multi-source data. The project may focus on one or several areas of relevance, including for instance:


School of Computing, Newcastle University

Name of supervisor(s)

Dr Sara Johansson FernstadSchool of Computing

Eligibility Criteria

You should have either a First class honours degree or 2.1 in Computing Science, Mathematics, Electrical and Computer Engineering or other relevant science or engineering subject. A distinction level Masters degree in a related subject will be a plus. Equivalent experience will also be considered.

Good programming skills are desirable, and experience of data visualization, HCI and/or data mining.

The studentship is available to UK/EU applicants only.

How to apply

You must apply through the University’s online postgraduate application system. To do this please ‘Create a new account’.

All relevant fields should be completed, but fields marked with a red asterisk must be completed. The following information will help us to process your application. You will need to:

Please send your covering letter and CV by e-mail to


Dr Sara Johansson Fernstad
School of Computing

Eligible Courses