Θέση για εκπόνηση διδακτορικής διατριβής με αμοιβή από Ευρωπαϊκό πρόγραμμα στο City University of London

Εικόνα vergos
Κατηγορία: 
PhD Studetntship - EU Project Smart Bear

 

  • Reference Number : PhD Studentship
  • School / Service : School of Mathematics, Computer Science & Engineering
  • Department : Department of Computer Science
  • Contract Duration : Fixed Term
  • Hours : Full-time

 

Background

City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location. City attracts around 20,000 students (40% postgraduate level) from more than 150 countries and staff from over 75 countries. In the last REF, City doubled the proportion of its total academic staff producing world-leading or internationally excellent research. Led by President, Professor Sir Paul Curran, City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university: it has recently agreed a new Vision & Strategy 2026. Founded in 1894, City is celebrating its 125th anniversary this year.

 
 
One Full Studentship, 3 years (Full Time)
 
Indicative funding amount: £17,000 tax-free stipend per year, fees paid, for 3 years.
This studentship is funded by the EU Horizon 2020 Research Programme with the project SmartBear (https://cordis.europa.eu/project/rcn/224928/factsheet/en), which wants to enable evidence-based, personalised support for healthy and independent living at home, through the use of a big-data platform that will be used to analyse and evaluate interventions. City is involved in (i) Intervention assessment, learning & evolution; and (ii) Continuous security assurance.

 

About the research theme

Your PhD will help this large project (27 partners from 11 countries) to establish the effectiveness of interventions for participants according to their particular profile, the conditions that affect this effectiveness; and improve the human-understandability of the results produced by machine-learning/data-mining (ML/DM) methods. It will involve designing and implementing new ML/DM methods and processes, evaluating them with real data, and validating their results with the project’s clinical partners.
Given the nature of the project’s data there will also be a focus on security and privacy – both of the platform to be developed and the data that are stored/processed on it.

More details and a candidate profile are provided in a separate document.

Additional Information

 

To apply for this studentship, please send your CV and Covering Letter to Christos Kloukinas at C.Kloukinas@city.ac.uk
 
Closing date for applications: 11:59pm, 4th December 2019. 
 
Interested candidates are invited to contact Dr Christos Kloukinas ( ) for further information.

 

Please use the link below to view further details for this job.

 

 

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