2020 applicants
Postgraduate Research Opportunity

Text analytics with deep learning for predicting dynamic economic systems


Title: SCH12: Text analytics with deep learning for predicting dynamic economic systems

Funding: Full time Home/EU fees (£4630 in 2019-20) plus a doctoral stipend equivalent to the RCUK Minimum Doctoral Stipend (£15,009 in 2019-20) (terms & conditions).

Application deadline: 30 August 2019

Start date: October 2019

Duration: 3 years (full time)

Location: Colchester Campus

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


This studentship is now closed to applicants. View our current opportunities.


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.


A full Home/EU fee waiver (£4,630 in 2019-20 - 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.


At a minimum, the successful applicant will have a good honours BSc degree in computer science, data science or other related subjects. An MSc with Merit or Distinction is desirable.

Furthermore, strong analytical and mathematical skills are required, as well as good programming skills. Knowledge of natural language processing and machine learning are desirable but not essential.

How to apply

You can apply for this postgraduate research opportunity online.

Each application MUST contain at least:

  • a covering letter with a personal statement why you are interested in conducting a PhD in text analytics (please state the project title “Text Analytics with Deep Learning for Predicting Dynamic Economic Systems” in your covering letter)
  • a detailed CV
  • full transcripts of any undergraduate or masters programmes
  • half a page draft of a research proposal.

Please also provide one letter of reference with the PhD application or provide a reference name, which can be contacted in the course of the recruitment process. 

Instruction to applicants

When you apply online you will be prompted to fill out several boxes in the form:

  • For "Course title" please put "PhD Computer Science"
  • For "Proposed research topic or area of research" please put the title of this studentship (SCH12: Text analytics with deep learning for predicting dynamic economic systems)
  • For "If you have contacted a potential supervisor..." please put the name of the lead supervisor (Professor Ansgar Scherp)

If you have any enquiries regarding the open PhD studentship position, please contact Professor Ansgar Scherp (ansgar.scherp@essex.ac.uk) or call +44 120687 2686.

You can find the terms and conditions of this studentship here (PDF).