School of Computing


Funded PhD Project in Machine Learning for Portfolio Optimisation The School of Computing is currently inviting applications for a three-year funded PhD studentship in Machine Learning for Portfolio Optimisation, The research, partially funded by Wealth Objects Ltd, will be supervised by Dr Michael Kampouridis. The student will be registered as a full-time student at the University of Kent with occasional meetings with Wealth Objects Ltd as they have a particular interest in the area of p...

9 November 2018

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Dr Fernando Otero to help develop next generation of social planning tools Dr Fernando Otero is to lead a group of academics working on a new project to develop the next generation of social planning tools. This exciting 30 month project with PlanSnap has been awarded funding through the Knowledge Transfer Partnership (KTP) programme. PlanSnap, based in London, has developed and launched an app which enables social planning on any platform. The platform gets everyone to agree quickly on the detail...

2 November 2018

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Improve your skills with a Year in Computing Many students are keen to learn the tech skills that will make them stand out to a graduate employer, or simply want to learn more about computing for their own interests. The School of Computing offers a 'Year in Computing' for all Kent undergraduate students*. This extra year can be taken after stage 2 or the final year of a students' current degree programme. The Year in Computing will especially be of interest to you if; you are...

1 November 2018

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Current Students please take part in the Module Evaluation Survey which is now open online on Moodle at…

Posted about 2 hours ago

Congratulations to @UniKentAlumni Ian Penny on winning CIO of the year at the UK IT Industry Awards 2018.…

Posted 7 days ago

Professor Ian McLoughlin from @UniKentComp Data Science Research Group has written an article for @ConversationUK o…

Posted 14 days ago

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School of Computing, University of Kent, Canterbury, Kent, CT2 7NF

Enquiries: +44 (0)1227 824180 or contact us.

Last Updated: 05/12/2018