2020 applicants
Postgraduate Research Opportunity

Deep learning approach for demand management in e-retailing


Title: SCH06: Deep learning approach for demand management in e-retailing

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

Application deadline: 27 January 2020

Start date: April 2020

Duration: 3 years (full time)

Location: Colchester Campus

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

This opportunity is now closed. View our other opportunities.


With the fast growth in technology more and more people choose to shop online.

A massive amount of data is collected in this process which could be analysed to assist decision making, such as how to predict customer demands and schedule them for last-mile delivery.

This project aims to apply deep learning techniques to understand major cost/emission factors of vehicle routing subject to customer choices, so as to proactively adjust pricing to schedule customer demands. Big Data analysis, machine learning and optimisation are key components of this project.


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.



  • BSc (first class)/MSc/MPhil in Operational Research, Mathematics, Computer Science, Engineering or a related discipline.
  • Good theoretical and applied knowledge in optimisation and machine learning.
  • Good knowledge of programming platforms and languages (e.g. Matlab/Python/C++/Java).


  • Experience of working on a project to successful completion. 
  • Ability to interface with people from varied technical backgrounds.
  • Experience of academic writing in English.
  • Excellent time management and organisational skills.
  • Able to work independently and as part of a team.

How to apply

You can apply for this postgraduate research opportunity online.

Please upload your CV, cover letter, personal statement, transcripts of any undergraduate or masters programmes and one reference.

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 Operational Research"
  • For "Proposed research topic or area of research" please put the title of this studentship (SCH06: Deep learning approach for demand management in e-retailing)
  • For "If you have contacted a potential supervisor..." please put the name of the lead supervisor (Dr Xinan Yang)

If you have any informal queries about this opportunity please email the lead supervisor, Dr Xinan Yang (xyangk@essex.ac.uk).

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

Student and academic working at a board together
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