KINGS COLLEGE LONDON

Research Associate

Location
London (Greater) (GB)
Salary
Grade 6, £38,304 to £45,026 per annum, inclusive of £3,500 per annum London Allowance.
Posted
19 Feb 2020
End of advertisement period
19 Mar 2020
Ref
R6/0377/20-RN
Contract Type
Fixed Term
Hours
Full Time

Applications are invited for a Research Associate in Disordered Systems in the Department of Mathematics at King’s College London.

The Department has had a very distinguished mathematical and scientific tradition since its foundation in 1829. It currently has around 600 undergraduate and about 150 postgraduate students following its programmes. The Department has six internationally acclaimed research groups: Analysis, Geometry, Disordered Systems, Financial Mathematics, Number Theory and Theoretical Physics, as well as the newly formed Statistics group.

The Disordered Systems group conducts research on the development of new methods to tackle both fundamental issues, and a broad range of applications to complex systems of many interacting units, where intrinsic disorder or underlying chaos play a fundamental role.

The successful candidate is expected to be working in close collaboration with Dr Pierpaolo Vivo and his Quantitative and Digital Law Lab team [quantlaw.co.uk] on the project `Taming the Complexity of the Law: modelling and visualisation of dynamically interacting legal systems’, funded by a UKRI Future Leaders Fellowship. The successful candidate will be working towards producing a network-based and navigable visualisation toolbox for UK Acts and bills, and designing a novel metric to estimate the structural complexity of the law. The main tasks will include (but will not be limited to): (i) Extraction of data from the official government website www.legislation.gov.uk. (ii) Construction of the proptotype of an interactive visualisation interface, including cross-references, amendments and time-changes in a predefined set of UK Acts. (iii) Network analysis of empirical features of Acts and bills, with the aim to construct a quantitative complexity indicator for legal texts. The ideal candidate will be either (i) a theoretical physicist/mathematician with a strong data-science and Complex Network background, or (ii) a computer scientist/software engineer with a strong interest in complexity science. Working experience in data extraction and manipulation will be essential, and design expertise in the domain of digital humanities/social science for the visualisation aspects will be an advantage. The post will involve high-quality research and will lead to the delivery of high-impact outputs.

Valuing Diversity & Committed to Equality

The Department of Mathematics is a registered supporter of the London Mathematical Society’s (LMS) Good Practice Scheme which supports advancing women’s careers in university mathematics departments.

We are committed to equality, diversity and inclusion and have policies to support staff with flexible arrangements for parental responsibilities or those returning from a long-term absence.  As part of the department’s commitment we are working towards holding an Athena SWAN bronze award.  We positively encourage women applicants and those from an ethnic minority to apply, as they are currently under-represented within the Department of Mathematics.

The post is available from 1 April 2020, or as soon as possible thereafter, and is located at the Strand Campus of King’s College London.

Further particulars of the post can be located in the job pack below and further information about the department and the research group can be found at:  https://www.kcl.ac.uk/mathematics/research/groups  

This post will be offered on a fixed-term contract for two years.

This is a full-time post - 100% full time equivalent.

The selection process will include a panel interview and two reference letters to be sent by the referees to pierpaolo.vivo@kcl.ac.uk.

For an informal discussion please contact Dr Pierpaolo Vivo; +44 (0)207 848 2864/pierpaolo.vivo@kcl.ac.uk

To apply, please register with the King’s College London application portal and complete your application online.

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