Creating Machine Intelligence with Intelligent Interactive Visualisation Studentship
An opportunity for a fully-funded PhD studentship, working at the cutting edge of Artificial Intelligence and ‘Big-Data’ to be co-funded by UWE Bristol and Montvieux Ltd.
Closing date for applications is Monday 27 June 2016.
About the studentship
The use of a range of Machine Learning algorithms to help people make sense of large complex unstructured data sources is increasing rapidly. As a provider of solutions addressing major challenges in the area of defence and national security, Montvieux is involved in a number of projects applying state-of-the-art techniques such as Deep Belief networks to model significant patterns in data and predict future events. Their clients’ needs are by nature fast-moving, and they have identified a need for intelligent visualisation and support tools to assist in their work. UWE’s Artificial Intelligence group has a long history of theoretical and applied work creating and applying Machine Learning systems, with an emphasis on the use of intelligent interactive systems to facilitate this process.
This collaborative research project aims to resolve three of the challenges to building a predictive event analysis system:
- the encoding of event data in a format suitable for input to a neural network;
- the training of a neural network to forecast events; and
- the use of introspection techniques to identify learned patterns and to explain predictions.
The student’s time will be equally split between UWE and Montvieux’s offices in Tewkesbury, to provide a valuable range of experiences and environments. Being co-located at Montvieux will also provide access to case studies to inform and evaluate the techniques they develop.
The studentship is available from 1 October 2016 and consists of an annual tax-free stipend of £14,296, subject to satisfactory progress, for three years. In addition, full-time tuition fees will be covered for three years, and reasonable transport costs between UWE and Montvieux’s offices.
The studentship will only fully fund applicants who are eligible for Home/EU fees.
Applicants must have a good honours degree (2.1 or equivalent) in Computer Science or a closely related discipline.
Due to the nature of Montvieux’s work, the candidate appointed will need to undergo National Security Vetting, and is only available to UK citizens.
How to apply
Download and complete the application form and send it directly to the UWE Graduate School. Please ensure you include the title of the research project you propose to undertake and detail why you are interested in undertaking this PhD project and what relevant knowledge, experience and qualifications you would bring to the research.
For an informal discussion about the studentship, please email Professor Jim Smith - James.Smith@uwe.ac.uk.
The closing date for applications is Monday 27 June 2016.
Interviews will take place on Wednesday 20 July. If you have not heard from us by 20 July 2016, we thank you for your application, but do not wish to pursue it on this occasion.