Location: | London |
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Salary: | £42,405 to £43,547 per annum, including London Weighting Allowance. Grade 6, step 31/32 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 26th September 2023 |
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Closes: | 29th October 2023 |
Job Ref: | 075388 |
Closing date: 29 October 2023
Salary: Grade 6, step 31 (£42,405) to step 32 (£43,547) per annum, including London Weighting Allowance
Building and Campus: Bush House, Centre Block, Strand Campus
Job description
The department of Informatics is looking to appoint a Postdoctoral Researcher to work on a project on modelling the Lloyd's of London insurance market funded by the Accenture Turing strategic partnership.
The project will be led by Carmine Ventre, https://www.kcl.ac.uk/people/carmine-ventre, and will run for one year starting from the 1st of January 2024. The project will explore our ability to simulate, experiment with, and therefore understand the dynamics of the Lloyd’s insurance markets, forecast future market environments, and ultimately help better decision making of market participants. The focus will be on modelling and accounting for their incentives by adopting game-theoretic techniques. The use of machine learning techniques to improve the scalability of the simulator and the adaptivity of the strategies adopted by market players could also be investigated.
The post holder will benefit from a close collaboration with leading industrial partners within the Lloyd’s ecosystem and will be based in the Department of Informatics in the Faculty of Natural, Mathematical & Engineering Sciences of King’s College London.
This post will be offered on a fixed-term contract for 12 months with a potential start date from the 1st January 2024.
This is a full-time post
Key responsibilities
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
A strong research background, as evidenced by publications, in Computer Science or a related area
Essential criteria
Desirable criteria
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