Number of awards
Start date and duration
6 January 2020 for 3.5 years
A timely and fascinating opportunity to investigate the use of multiple novel visual representations of ordinal and numerical uncertainty (for example in graphs, decision trees, glyphs, plain text) combined into narratives presented to decision makers. We will rigorously evaluate alternative narratives for their ability to support the perceptual combination representations of uncertainty when decisions are being made using multiple evidence modes. We anticipate this will provide an exciting opportunity to investigate the visual representation of uncertainty and rigorously evaluate its use in high-level decision-making processes.
Alan Turing Institute https://www.turing.ac.uk/
Name of supervisor(s)
Professor Nicolas S. Holliman (Newcastle University) - https://www.ncl.ac.uk/computing/people/profile/nickholliman.html#background
Dr Kevin J. Wilson (Newcastle University) - https://www.ncl.ac.uk/maths-physics/staff/profile/kevinwilson.html#background
Dr Magda Osman, Queen Mary University of London
Staff at Alan Turing Institute and DSTL will also have inputs to the supervision.
At least a good first degree (2:1 or higher) in computing or directly related subject.
Experience with visualization systems or research will be helpful but is not essential.
This award is available to UK/EU and international candidates. If English is not your first language, you must have IELTS 6.5 overall (with a minimum of 5.5 in all sub-skills).
How to apply
You must apply through the University’s online postgraduate application system - https://www.ncl.ac.uk/postgraduate/apply/
All relevant fields should be completed, but fields marked with a red asterisk in the application portal must to be completed. The following information will help us to process your application. You will need to:
- insert the programme code 8050F in the programme of study section
- select ‘PhD Computer Science - Computing Science’ as the programme of study
- insert the studentship code COMP017 in the studentship/partnership reference field
- attach a covering letter and CV. The covering letter must state the title of the studentship, quote reference code COMP017 and state how your interests and experience relate to the project
- please also send a copy of your CV to [email protected]
- attach degree transcripts and certificates and, if English is not your first language, a copy of your English language qualifications