Analyst - HiDALGO Project – Data Science

1. Position information

Vacancy No.: VN18-37
Grade: A2
Job Ref. No.: STF-PL/18-37
Department: Forecasts
Section: Development
Reports to: Head of Development
Closing Date: 5 November 2018

2. About ECMWF

ECMWF is both a research institute and a 24/7 operational service, producing and disseminating numerical weather predictions to its Member States. This data is fully available to the national meteorological services in the Member States. The Centre also offers a catalogue of forecast data that can be purchased by businesses worldwide and other commercial customers. The supercomputer facility (and associated data archive) at ECMWF is one of the largest of its type in Europe and Member States can use 25% of its capacity for their own purposes.

For details, see www.ecmwf.int

3. Summary of the role

ECMWF will be part of the new Horizon 2020 project HiDALGO, which will explore the advanced coupling of numerical weather forecast model output to other models and applications and develop services to allow weather product generation to run on Cloud environments.

This new position sits in the Development Section of the Forecast Department and it will further strengthen the activities of delivering model outputs in the team. The role of the team is to support the development of new services to provide access to data from ECMWF forecasts and activities. The Analyst will work within the Scalability team to support the evolution of existing services but also to explore and setup the provision of data through new services and standards.

The successful candidate will contribute to the developments of project to enable ECWMF to bring this system into operational status. He or she will apply their knowledge and expertise to contribute to future developments to ensure a successful evolution of ECMWF’s modelling and data services.

4. Main duties and key responsibilities

  • Interacting with the internal and external project team and support the deliverables of the HiDALGO project
  • Assisting project partners in using and integrating ECMWF data in their processes and services; providing feedback for possible improvements to the systems
  • Contributing improvements to ECMWF’s data delivery systems as part of the work of the Development Section
  • Contributing and improving documentation on how ECMWF model data can best access and assist in outreach and communication on these

5. Personal attributes

  • Excellent problem-solving skills with a proactive approach, together with an interest in identifying, investigating and solving technical problems
  • Interest in exploring the technical viability of new technologies within the ECMWF context
  • Dedication and enthusiasm to work in a small team
  • Excellent interpersonal and communication skills, listening to and respecting the views of others
  • Ability to work under pressure

6. Qualifications and experience required

Education

  • A university degree, or equivalent, in a discipline related to computer science, physics, mathematics or engineering is required. A PhD is desirable but not essential.

Experience

  • Good knowledge in handling large amounts of earth science data; ideally knowledge of ECMWF & Copernicus data.
  • Experience with working with NWP models - especially on data input/output
  • Experience in using weather/climate data in machine learning environments would be an advantage.
  • Experience in using cloud services for processing of weather/climate data of would be advantageous.
  • Experiences using visualisation tools would be an advantage.
  • Experience with developing and maintaining scientific codes would be an advantage.
  • Experience in processing and managing large spatial data sets is an advantage.

Knowledge and skills (including language)

  • Very good knowledge of object-oriented programming developing with C/C++/Python.
  • Good knowledge of UNIX, experience developing software for UNIX systems (and/or Linux) and the use of system calls is essential.
  • Good understanding of computer science concepts (efficient algorithms and data structures) is required.
  • Candidates must be able to work effectively in English and interviews will be conducted in English.
  • A good knowledge of one of the Centre’s other working languages (French or German) would be an advantage

7. Other information

Grade remuneration

The successful candidate will be recruited at the A2 grade, according to the scales of the Coordinated Organisations and the annual basic salary will be £58,238.40 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: 30 months but finishing no later than 31 October 2021.

Location: The role will be based in the Reading area, in Berkshire, United Kingdom.

8. How to apply

Please apply by completing the online application form available at www.ecmwf.int/en/about/jobs/.

At ECMWF, we consider an inclusive environment as key for our success. We are dedicated to ensuring a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orientation, religion, personality, ethnicity and culture. We value the benefits derived from a diverse workforce and are committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equality and inclusion.

Staff are usually recruited from among nationals of the following Member States and Co-operating States:

Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, former Yugoslav Republic of Macedonia, France, Hungary, Germany, Greece, Iceland, Ireland, Italy, Latvia, Lithuania, Luxembourg, Montenegro, the Netherlands, Norway, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.

Staff from other countries may be considered in exceptional cases

published: 06 October 2018     Please mention EARTHWORKS when responding to this advertisement.