|Funding for:||UK Students, EU Students|
|Funding amount:||Not Specified|
|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.
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)
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