Research Associate in The Analysis and - South Kensington, United Kingdom - Imperial College London

Imperial College London
Imperial College London
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South Kensington, United Kingdom

1 month ago

Tom O´Connor

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Tom O´Connor

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Description

One of the Grantham Institute's flagship research projects, led by Dr Otto is the World Weather Attribution (WWA) initiative, a collaboration between climate scientists at Imperial College London, KNMI in the Netherlands and climate impact specialists at the Red Cross / Red Crescent Climate Centre (RCCC), and a large global network of other scientists, that was founded to provide rapid and robust assessments on the role of climate change in the aftermath of an extreme weather event.

Its aim is to provide timely scientific evidence to better understand how climate change impacts weather today.

In this role you will work with the WWA team to carry out attribution studies and methodological studies to improve and develop the attribution of extreme weather events.


Duties and responsibilities:


You will be a key researcher in the rapid attribution initiative World Weather Attribution and participate in all activities the team undertakes, including research, media and policy engagement.

In addition, you are expected to interact with stakeholders from various sectors, including the funders of this post in the finance sector, but also lawyers, journalists and other relevant groups.


  • Apply, develop and implement methods for attribution analyses of extreme events with a focus on heat waves, floods and droughts using global and regional climate models and observational data. This will include issues of model evaluation, bias correction, quantification of uncertainties and vulnerability assessments.
  • Actively participate in and lead the scientific activities of the WWA team and contribute to the scientific development of risk assessment in the context of extreme weather.
  • Explore further opportunities for novel research on climate uncertainties, risk assessment and attribution of extreme events.
  • Engage with stakeholders and researchers within the College and the wider community including the financial sector.
  • Actively participate in the research programme of the Institute.
  • Publish in high quality journals and to present data at national and international meetings

Essential requirements:

PhD atmospheric or in climate or related science.

In addition, you have to be able to demonstrate the following essential criteria:

  • Knowledge of and publication record on weather extremes.
  • Excellent communication skills and the ability to deal with a wide range of people.
  • Ability to organise own work with mínimal supervision
  • Willingness to work as part of a team and to be openminded and cooperative.
  • Willingness to undertake any necessary training for the role.

Further information:

Full details of the role can be found in the Job Description.

This role is full-time, for three years, and you will be based in our South Kensington Campus.


Please note that you must already hold right to work in the UK for this role.
Find out more about the Community and Culture at the Grantham Institute.

  • The College is currently trialling a Work Location Framework until early 2023. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview._
  • 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._

Documents:


  • JD
  • Research Associate in the Analysis and Interpretation of Climate Data for Extreme
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