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Position: Postdoctoral Research Assistant in Climate Prediction
Institution: University of Oxford
Location: Oxford, Oxfordshire, United Kingdom
Duties: Evaluate global and regional forecast quality in terms of skill and reliability on seasonal, annual and decadal time scales according to well-identified user requests using a multi-faceted forecast quality assessment; To develop and test innovative scientific methodologies to combine forecasts on seasonal, multi-annual (1; 5-years) and decadal (5; 30-years) timescales and to apply them to user-relevant adaptation decisions; To design and implement new approaches to extract high-resolution information on climate extremes from seasonal to 30-year predictions; To explore how users can get value from considering information on seasonal, 1; 5-year and 5; 30-year timescales to improve decision making
Requirements: Applicants should possess or be very close to obtaining a doctorate degree in climate science, mathematics, physics, statistical science or a related field
   
Text: Postdoctoral Research Assistant in Climate Prediction Department of Phyiscs, Robert Hooke Building, Parks Road, Oxford Applications are invited for a Postdoctoral Research Assistant in Climate Predictability The post is available for a fixed-term duration of 30 months The post will contribute to the new EU Horizon Europe project ASPECT (Adaptation-oriented Seamless Predictions of European ClimaTe), a large international collaborative research consortium involving 11 institutions from across Europe. The project’s overall objective is to produce seamless climate predictions covering the next 30 years and to embed these into societally important climate change adaptation decisions over a range of sectors, timescales, spatial scales and decision makers. The successful candidate will be responsible for the following main tasks: 1) Evaluate global and regional forecast quality in terms of skill and reliability on seasonal, annual and decadal time scales according to well-identified user requests using a multi-faceted forecast quality assessment. 2) To develop and test innovative scientific methodologies to combine forecasts on seasonal, multi-annual (1-5-years) and decadal (5-30-years) timescales and to apply them to user-relevant adaptation decisions. 3) To design and implement new approaches to extract high-resolution information on climate extremes from seasonal to 30-year predictions. 4) To explore how users can get value from considering information on seasonal, 1-5-year and 5- 30-year timescales to improve decision making. Applicants should possess or be very close to obtaining a doctorate degree in climate science, mathematics, physics, statistical science or a related field. The candidate we are seeking should have a sound knowledge of climate science, climate modelling and climate prediction, or experience with statistical verification of ensemble predictions and/or big data analysis from other areas of science. Candidates are expected to demonstrate excellent communication skills. The post-holder will have the opportunity to teach. Please direct enquiries about the role to Dr Antje Weisheimer (antje.weisheimer@physics.ox.ac.uk) Only applications received before midday 9th December 2022 can be considered. You will be required to upload a brief statement of research interests, CV and details of two referees as part of your online application. Contact Person : HR Team Vacancy ID : 161476 Contact Phone : Closing Date & Time : 09-Dec-2022 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : recruitment@physics.ox.ac.uk Salary (£) : Grade 7: £34,308 - £42,155 per annum Click on the link(s) below to view documents Filesize 161476 ASPECT_jd-and-person-spec_AW11102022.pdf 545.3
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