Research Associate in Mathematics

Imperial College London

United Kingdom

Job summary

Applications are invited for a Research Associate position at the Department of Mathematics, Imperial College London. The successful candidate will be a statistician/data scientist with experience in computationally intensive statistical modelling and/or probabilistic machine learning. Supervised by Professor Emma McCoy, the Research Associate will work at the Alan Turing Institute as part of the Data Centric Engineering Programme. As the...

Job listing information

  • Reference NAT00588
  • Date posted 8 November 2019
  • Closing date 8 December 2019

Key information about the role

  •  
    Location South Kensington Campus (map)
  • Position type Full time, fixed term
  • Salary £40,215 – £47,579 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. The successful candidate will be a statistician/data scientist with experience in computationally intensive statistical modelling and/or probabilistic machine learning.

Supervised by Professor Emma McCoy, 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 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 develop methodology for modelling complex engineering systems involving “wicked” problems. In particular, they will aim to predict system interactions, potential failures and the effect of interventions using the potential of causal inference and machine-learning approaches through both supervised and unsupervised learning. One potential application of the methodology will be to seek to identify patterns of relevant information and build predictive models to revolutionise the engineering practice of design assurance, which involve checking designs meet standards and requirements. In this application, the models will be multimodal in nature, fusing a rich and detailed structured data-set of time logs with associated textual design documents.

The project is an opportunity to engage with engineers and other experts on a regular basis to progress cutting-edge research that is both suitable for publication into leading academic journals and has impact on the development of data-driven design under uncertainty in complex engineered systems. You will also be closely linked to the Transport Strategy Centre, led by Professor Dan Graham (co-lead of Grand Challenge II) and the Centre for Systems Engineering and Innovation, led by Professor Whyte (who leads Grand Challenge III), both Centres are in the Department of Civil and Environmental Engineering and will engage broadly with the active research communities in data-science at Imperial College London.

Essential requirements

 

 

    • PhD in computer science, statistics, data science, or in a quantitative field

 

    • Experience of interacting well and collaborating with scientists, engineers, managers and academic colleagues based across different locations

 

    • Computer literate with a good knowledge of different computer programs with experience in data presentation and statistical analyses

 

    • Knowledge of data analysis methods and how to apply templates and theories to the systematic analysis of secondary data

 

    • Willingness to learn about BIM and automation in construction

 

    • Ability to carry out original research and to produce published research papers

 

    • Excellent written English and the ability to write clearly and succinctly for publication

 

Further information

The position is for 2 years. The expected start date is 2nd January 2020 or as soon there-after as is practical.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £35,477 - £38,566 per annum.

For any specific queries regarding the post please contact Professor Emma McCoy (e.mccoy@imperial.ac.uk )

If you experience any technical issues when applying online please email recruitment@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/

Documents

  • JD.doc


In your application, please refer to Professorpositions.com

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