ECMWF – Scientist – high resolution modelling

ECMWF, Shinfield Park, Reading, UK
Closing date: 08 April 2019

Summary of the role
ECMWF is now looking to recruit a Scientist who will work towards a coupled atmosphere/ocean model at ECMWF that can run at unprecedented levels of spatial and temporal resolution.

A focus will be on the development of a testbed for high resolution ocean models to identify and quantify the fidelity of simulations when parameters, boundary conditions or numerical precision are changed for simulations. This will enable to quantify performance shortcomings of today’s ocean models (both in accuracy and scalability), allow to adjust model accuracy to forecast uncertainties for different forecast lead times, and help to perform targeted model developments in the future (such as the use of concurrency or improvements for the coupling of fast surface modes and the deep ocean).

The Scientist will study the use of mixed precision in ocean models and identify whether machine learning techniques, and in particular deep neural networks, can be used to emulate specific model components.

The position will be funded via the Horizon2020 Centre of Excellence in Simulation of Weather and Climate in Europe 2 (ESiWACE2). One of the main goals of ESiWACE2 is to substantially improve efficiency and productivity of numerical weather and climate simulations on high-performance computing platforms by supporting the end-to-end workflow of global Earth system models. The Scientist will contribute to dissemination and training activities of the ESiWACE2 project, work closely together with core staff at ECMWF and collaborate with other projects that are externally funded by the European Commission through its Horizon-2020 programme, for example ESCAPE-2, EPiGRAM-HS and EuroEXA.

Main duties and key responsibilities

  • To perform scientific and technical developments within the coupled atmosphere/ocean model at ECMWF to allow for simulations at higher resolution. This includes tests of mixed precision arithmetic in ocean models.
  • To perform model simulations with ocean models at eddy-resolving resolution and elaborate a framework to test model configurations that use different parameter settings, boundary conditions, resolution and numerical precision to identify and quantify shortcomings and challenges in today’s ocean models and their impact on forecast skill at different forecast lead-times (days to centuries).
  • To study the ability of deep learning techniques to emulate model components of the Integrated Forecast System to improve computational efficiency.

Grade remuneration
The successful candidate will be recruited at the A2 grade, according to the scales of the Co-ordinated Organisations and the annual basic salary will be £59,228.40 net of tax. This position is assigned to the employment category STF-PL as defined in the Staff Regulations.

Full details of salary scales and allowances are available on the ECMWF website at www.ecmwf.int/en/about/jobs, including the Centre’s Staff Regulations regarding the terms and conditions of employment.

Starting date: As soon as possible.
Length of contract: Until 31 December 2022.

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