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.
Lead supervisorSchool of Computer and Electronic Engineering, University of Essex
Ansgar Scherp is professor for Natural Language Processing and Data Analytics. He has an excellent research reputation in text analytics, especially for text classification, and graph data mining. He develops approaches for data analyses by combining symbolic and statistical methods that bring together the fields of Information Retrieval, Machine Learning and Artificial Intelligence.
Co-supervisorDepartment of Mathematical Sciences, University of Essex
Dr Spyridon Vrontos is Senior Lecturer and internationally recognised researcher in actuarial mathematics and actuarial modelling. His specific focus is on methods for performance measurement of pension funds, hedge funds and mutual funds as well as methods for predicting financial time series.
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.
You can apply for this postgraduate research opportunity online.
Each application MUST contain at least:
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:
If you have any enquiries regarding the open PhD studentship position, please contact Professor Ansgar Scherp (email@example.com) or call +44 120687 2686.
You can find the terms and conditions of this studentship here (PDF).