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Research Officer

Swansea University - College of Science

Location: Swansea
Salary: £34,804 to £40,322 per annum together with USS pension benefits
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 14th September 2021
Closes: 17th October 2021
Job Ref: AC04786


Job Number: AC04786

Advertising Department: College of Science

Contract Type: Fixed Term

Closing Date: 17-10-2021

Salary: £34,804 to £40,322 per annum together with USS pension benefits

Hours of work: Full time

Contract: This is a fixed term position for the duration of 11 months.

Location: This position will be based on Bay campus.

Policy decisions on non-pharmaceutical interventions (NPIs) for tackling the Covid-19 pandemic thus far have been driven by the objective of controlling the spread. However, there are other, potentially conflicting, objectives, such as reducing the economic cost of NPIs. In this exciting project, we will develop novel methods to perform multi-objective optimisation under uncertainty from data-driven models to approximate the optimal trade-off between competing objectives for NPIs. Our goal is then to develop a decision support tool using state-of-the-art visual analytics techniques for the policymakers so that they can readily investigate the trade-offs between NPIs and make an informed decision. If successful, the developed software system would help inform the Welsh government when formulating policy.

The person sought for this position would have expertise in evolutionary search (preferably multi-objective Bayesian optimisation), machine learning, visualisation and/or operational research methods. They would apply these methods in training models of objectives from data, and then performing a multi-objective search to estimate the optimal trade-offs. Working with leading experts in evolutionary search and visualisation, they would then develop a visually interactive tool for exploring the decision space, clearly depicting dominance between solutions.

Main duties include:

  1. Develop prototypes based on machine learning/evolutionary search methods to estimate model runs from a given number of runs, and trade-offs between NPIs. These prototypes would be built using R, Python, and Jupyter notebooks.
  2. Work closely with the investigators in understanding and responding to the needs of epidemiologists, economists and mathematical modellers to design effective ways to estimate these model results and visualise them.
  3. Conduct high quality international research in the area of evolutionary search, machine learning, and visualisation.
  4. Prepare and present the results of such work at international conferences.

Person Specification

Essential criteria:

  1. A PhD (or near completion) or equivalent in Computer Science, Operational Research, or Mathematics, preferably with expertise in evolutionary or Bayesian search. Other areas of expertise will also be considered: machine learning, visualisation, and dynamic systems modelling.
  2. Evidence of active engagement, personal role, and contribution to writing and publishing research papers, particularly for refereed journals.
  3. Ability to demonstrate significant independence of focus and direction in research – determining ’what, why, when and with whom' to progress work.
  4. A commitment to continuous professional development

Informal enquiries: Dr Alma Rahat (

To apply, please click on the link below;

Research Officer (

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