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Research Associate, in Climate, Heat & Health (DyME)

The Alan Turing Institute

Location: London
Salary: £37,000 to £42,000 plus excellent benefits
Hours: Part Time
Contract Type: Fixed-Term/Contract
Placed On: 20th December 2021
Closes: 23rd January 2022
 

The Alan Turing Institute

The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence whose mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.

ROLE PURPOSE

The successful candidate will join the Environment & Sustainability team as part of a new project aiming to develop models and tools to provide high quality information on the impact of extreme temperature events associated with future climate change on population health. 

The aim of this project is to develop models that will provide new information on ‘personal exposures’ to environmental hazards, specifically those related to exposure to future increased temperatures associated with climate change. The project will build upon the DyME (Dynamic Models for Environments) framework and tools that were created as part of the Royal Society RAMP Urban Analytics programme. Integrating the foundations DyMe: the QUANT and SPENSER platforms for urban mobility and dynamic microsimulation, with the Joint Centre for Excellence in Environmental Intelligence’s Climate Impacts Mitigation Adapation and Resilience (CLIMAR) framework and existing work on user interfaces in DyME the outputs of the project will include new data products, tools and interfaces for estimating the local effects of climate and heat on health.

DUTIES AND AREAS OF RESPONSIBILITY

The successful candidate will:

  • Conduct original research to achieve the objectives of the DyME project.
  • Engage with external stakeholders alongside the project’s Research Application Manager to maximise the real-world impacts of the outputs of the project.
  • Develop and adapt existing tools, including those developed within the DyMe project, for use in a climate, heat and health setting, and to further develop tools and interfaces in response to stakeholder feedback. 
  • Write and contribute to original research papers in the area of data science, climate change, environment, urban analytics & health

Person Specification

  • A PhD or equivalent level of experience in data science (e.g. computer science, statistics, environmental science, urban analytics, public health), or a related discipline.
  • Demonstrable interest in environmental data science / health impacts / urban analytics
  • Demonstrable experience of coding in a language suitable for data science (e.g. python, R)
  • Ability to identify or design computational and statistical analysis approaches to address specific research questions

Please see our portal for a full breakdown of the Job Description.

Terms and Conditions

This part time (0.5 full-time equivalent) post is offered on a fixed term basis to 30 September 2023.  The annual salary is £37,000 - £42,000 plus excellent benefits, including flexible working and family friendly policies,  https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £34,500 per annum.

Application procedure

Please see our jobs portal for full details on how to apply and the interview process.

Equality Diversity and Inclusion

The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly.  In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.  Reasonable adjustments to the interview process can also be made for any candidates with a disability.

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