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Faculty studentship: Text analytics with deep learning for predicting dynamic economic systems - for PHD course and award start date of October 2019

University of Essex - School of Computer Science and Electronic Engineering and Department of Mathematical Sciences

Qualification Type: PhD
Location: Colchester
Funding for: UK Students, EU Students
Funding amount: Not Specified
Hours: Full Time
Placed On: 28th March 2019
Closes: 7th May 2019

Faculty Studentship Overview

The goal of the PhD studentship is to develop novel text analytics methods based on modern Deep Neural Networks.

The novel text analytics methods will be applied to better understand and analyse the complexity of real-world activities and dynamics in socio-economic systems such as stock markets, health care services, innovation processes and others.

Human language technology, and text analytics in particular, has been a key area of research for more than 40 years at Essex University. The PhD studentship will greatly benefit from this embedding and the strong interdisciplinary research between computer science and mathematical sciences.

Funding

The award consists of a full Home/EU fee waiver or equivalent fee discount for overseas students (further fee details), a doctoral stipend equivalent to the Research Councils UK National Minimum Doctoral Stipend (£15,009 in 2019-20), plus £2,500 training bursary via Proficio funding, which may be used to cover the cost of advanced skills training including conference attendance and travel.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the Department of Mathematical Sciences)

Find out more

Funding

Full time Home/EU fees (further fee details) and a stipend of £15,009 p.a. (terms & conditions)

   
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