Research Associate in Statistics of Extremes

Imperial College London Department of Mathematics

United Kingdom

Job summary

Applications are invited for a Research Associate position at the Department of Mathematics, Imperial College London. You will be a statistician/ probabilist with experience in extreme value theory and computationally intensive statistical modelling. Supervised by Professor Almut Veraart and Professor Axel Gandy, the Research Associate will work at the Alan Turing Institute as part of the Data Centric Engineering Programme. As the National...

Job listing information

  • Reference NAT00867
  • Date posted 15 February 2021
  • Closing date 15 March 2021

Key information about the role

  • Location South Kensington Campus (map)
  • Position type Full time, fixed term
  • Salary £40,858 – £48,340 plus benefits
  • Department Department of Mathematics
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

Applications are invited for a Research Associate position at the Department of Mathematics, Imperial College London. You will be a statistician/ probabilist with experience in extreme value theory and computationally intensive statistical modelling. Supervised by Professor Almut Veraart and Professor Axel Gandy, the Research Associate will work at the Alan Turing Institute as part of the Data Centric Engineering Programme. As the National Institute for Data Science and Artificial Intelligence, the Alan Turing Institute - headquartered at the British Library London - provides a dynamic research environment with state-of-the-art facilities, and the opportunity to interact with the best data scientists from across the UK. The Data-Centric Engineering programme is led by Professor Mark Girolami at the Alan Turing Institute. The programme involves mathematicians, computer scientists and engineers from across Imperial.

Applications are invited for a Research Associate position at the Department of Mathematics, Imperial College London. You will be a statistician/ probabilist with experience in extreme value theory and computationally intensive statistical modelling. Supervised by Professor Almut Veraart and Professor Axel Gandy, the Research Associate will work at the Alan Turing Institute as part of the Data Centric Engineering Programme. As the National Institute for Data Science and Artificial Intelligence, the Alan Turing Institute - headquartered at the British Library London - provides a dynamic research environment with state-of-the-art facilities, and the opportunity to interact with the best data scientists from across the UK. The Data-Centric Engineering programme is led by Professor Mark Girolami at the Alan Turing Institute. The programme involves mathematicians, computer scientists and engineers from across Imperial.

Duties and responsibilities

You will undertake high quality research on the Methodology for Rare Event Prediction and Monitoring Workstream of the Grand Challenge on Monitoring Complex Systems with Rare High Consequence Events (Grand Challenge II). This project is part of the larger Alan Turing Institute programme on Data-Centric Engineering.

The Methodology Workstream of the Monitoring Complex Systems with Rare High Consequence Events Grand Challenge aims to develop statistical methodologies and mathematical methods to characterize, estimate and extrapolate extremal dependence in multivariate, spatial, spatio-temporal and network settings. It contains both purely methodological and theoretical work, but at the same time aims to make the new methodology applicable to relevant application in transportation networks, cybersecurity and environmental settings.

Essential requirements

The essential requirements for this post are as follows:

  • PhD (or equivalent) in Statistics, Mathematics or a closely related subject
  • Experience in one or more of the following:A record of achievement commensurate with your level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations
    • Statistical data modelling e.g., time series, spatio-temporal data, network data
    • Data modelling
    • Stochastic processes: Statistical inference for stochastic processes
    • Extreme value theory
  • Proven knowledge in some of the following:Ability to carry out original research and to produce published research papers
    • Data Processing and Analysis
    • Computational Statistics e.g., handling time series data, spatio-temporal data, computational intensive methods such as numerical optimization, Monte Carlo and bootstrap methods
  • Excellent written English and the ability to write clearly and succinctly for publication

Further information

The position is until 30 September 2022. The expected start date is as soon as is practical.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £36,045 - £39,183 per annum.

For any specific queries regarding the post please contact Professor Almut Veraart (a.veraart@imperial.ac.uk)

For technical issues when applying online please email support.jobs@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.


In your application, please refer to Professorpositions.com

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