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Research Fellow in supply chain optimisation under uncertainty

Chemical Engineering

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UCL, Gower Street, London, UK


  • Posted on: 11th Feb 2021
  • Salary: £36,028 - £40,125 per annum
  • REF: 1874615
  • Closes: 25th February 2021
  • Contract Type: Fixed-Term/Contract
  • Hours: Full Time

Duties and Responsibilities

This position is in the Product and Process Systems Engineering Group. The investigators are members of the Centre for Process Systems Engineering (CPSE), a joint centre between Imperial College London and University College London.

The project is funded by the UKRI COVID-19 scheme and aims to develop a whole-systems analysis on the integrated design and operation of medical oxygen supply chains in the UK for current, future waves of SARS-CoV-2.

Key responsibilities include:

To develop and implement novel methods for multi-stage optimisation under uncertainty.

To develop and implement machine learning approaches for quantifying and incorporating uncertainty considerations in optimisation problems.

To develop and implement decomposition/iterative techniques for the solution of large-scale supply chain models.

Collect and curate datasets related to the projects remit.

Plan and prepare papers from own and related research to appropriate peer reviewed journals, international conferences and research seminars.

Collaborate with other PDRAs and PhD student team members for exchange of knowledge, best practice, as well as to carry out coordinated pieces of research.

Duration of the role is for 15 months in the first instance.

Key Requirements

The successful candidate must have (or be in the process of submitting) a PhD A PhD in Engineering, Operations Research or Computer Science with advanced understanding optimisation under uncertainty is required. The applicant must either have already completed a doctorate, or have submitted their thesis prior to taking up the post.

Candidates must have proven publications track record in developing novel techniques for optimisation under uncertainty and/or the efficient solution of stochastic/robust optimisation programs. Experience with complex supply chain optimisation models and vehicle routing problems. Proficiency with optimisation packages (e.g. GAMS, Pyomo). Experience in programming languages (e.g. Python, Julia) and maintaining online repositories (e.g. GitLab/GitHub). Candidates must have excellent communication and team-working skills, the ability to write high-standard reports and work collaboratively with colleagues to generate high-quality research outputs.

Please note: appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary 31,542 – 33,257 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

Further Details

A job description and person specification can be accessed at the bottom of this page.

To apply for the vacancy please click on the Apply Now button below.

If you have any queries regarding the vacancy or the application process, please contact Dr. Vasileios Charitopoulos at v.charitopoulos@ucl.ac.uk or Professor Lazaros Papageorgiou at l.papageorgiou@ucl.ac.uk.

UCL Taking Action for Equality

Closing Date

25 Feb 2021

Latest time for the submission of applications


Interview date


Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job.

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