|Salary:||£34,804 to £40,322 per annum together with USS pension benefits|
|Placed On:||14th September 2021|
|Closes:||17th October 2021|
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:
Informal enquiries: Dr Alma Rahat (email@example.com)
To apply, please click on the link below;
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