met-jobs@lists.reading.ac.uk
December 2016
Message 82

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[Met-jobs] Post-Processing R&D job at Met Office

From "Mylne, Ken" <ken.mylne@metoffice.gov.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Cc "Mylne, Mo" <mo.mylne@metoffice.gov.uk>, "Jackson, Simon" <simon.jackson@metoffice.gov.uk>
Date Wed, 21 Dec 2016 12:48:13 +0000

The Met Office is seeking to fill a Post-Processing Scientist role in our Post-Processing R&D team on the creation of site forecasts from Numerical Weather Prediction data and other sources. Full details and applications forms from our website at Post-Processing Scientist. The Job description is also reproduced below:

Location

 Exeter HQ

Contract type

 Permanent

Opening date

 19-12-2016

Closing date

 12-01-2017

mologo.jpg

Salary Information

Foundation Scientist £21,675 + competitive benefits package
Scientist £26,010 + competitive benefits package

Background

The Met Office employs world-class scientists who are among the very best in their fields. Our Science programme develops our forecasting systems for timescales from hours to decades and for spatial scales from local to global. Our world class supercomputer is giving us the opportunity to deliver a step change improvement in our capability.

In order to get the most benefit from our post-processing systems, we need ensure that we are exploiting the data as effectively as possible. Site-specific forecasts are a key part of our products to the public.  We need to generate accurate, useful ‘spot forecasts’ for any spot in the world from large gridded datasets in a reliable and efficient manner.

Job Purpose

Over the coming years the focus will be on developing a new integrated post-processing and verification system. This system will enable us to create a consistent set of gridded and site-specific products from our complex and rapidly evolving Numerical Weather Prediction (NWP) suite including exploitation of forecast data which is updated on an hourly basis.  This new system will generate and manage a full set of probabilistic data to drive our core production chain. 

A key part of your role will be to develop methods for efficiently creating spot forecasts for anywhere in the world from our post-processed gridded datasets. You will develop corrections for local terrain features that are not well-resolved by the NWP models and ensure that the output meets the needs of downstream users.   You will also be involved in developing ways of communicating this detailed, probabilistic data in ways that are easily understandable and aid decision making.

This post will be at Foundation Scientist or Scientist level.

Job Responsibilities

  • Contributing to the development of the integrated post-processing system by creating a fit-for-purpose site-extraction utility;
  • Contributing to the design and implementation of effective communication of complex forecast information;
  • Development of methods for accounting for sub-gridscale detail in spot forecasts;
  • Liaising with verification teams in assessing the quality of spot-forecasts and ensuring forecasts are of sufficient quality to meet customer requirements.

Essential Qualifications, Skills & Abilities

  1. Good honours degree in a physical/mathematics-based science (2.1 or above) or equivalent experience. At Scientist level you will have a relevant PhD or equivalent research experience
  2. Ability to apply a broad scientific knowledge to specific problems and scenarios. Evidence of the ability to learn and apply simple technical and analytical techniques to basic scientific problems. At Scientist level you will have a good scientific knowledge of own subject area and ability to recognise potential for scientific investigations and learn new techniques/knowledge and apply them to one area of research.
  3. Ability to communicate your own scientific and technical work to other specialists. At Scientist level you will also be able to clearly communicate the work of others to non-specialists.
  4. Ability to learn and apply software tools and/or programming languages with experience setting up and running simple code and performing basic analysis. At Scientist level you will have experience in developing moderately complex code and exploiting it in scientific analysis.
  5. Ability to work and collaborate as an active and productive member of a team. At Scientist level you will also provide scientific/technical advice to other team members.
  6. Proven ability to develop new skills quickly.
  7. At Scientist level you will have a proven ability to plan and manage your own work, with limited supervision.

Desirable Qualifications, Skills & Abilities

  1. Strong interest in weather forecasting and the communication of forecast information to users.
  2. Software programming experience in Fortran, C, python or IDL.
  3. Working knowledge of one or more of the following scientific gridded data formats: netCDF, GRIB, Nimrod format, FieldsFile & PP format.
  4. Knowledge and experience in atmospheric science, numerical modelling or statistical processing.

Additional Supplementary Information

To apply, please click on the ‘apply’ button below.

Closing date: 12/01/2017

This recruitment post is not offering UK Visa and Sponsorship and therefore requires all applicants to be eligible to work within the UK / EU without restriction. If you are a non–EU candidate you will be required to provide and attach all relevant eligibility documentation to your application at the time of applying.

 

 

Ken Mylne FRMetS  Head of Weather Science Numerical Modelling

Met Office  FitzRoy Road  Exeter  Devon  EX1 3PB  United Kingdom

Tel: +44 (0)7753 880511  Fax: +44 (0)1392 885681

Email: ken.mylne@metoffice.gov.uk  Website: http://www.metoffice.gov.uk Personal: http://www.metoffice.gov.uk/research/people/ken-mylne

 

You can now follow our science on Twitter: @MetOffice_Sci

 



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