Scientists Atmospheric Composition Data Assimilation (2 positions)

The role One of the core components of the CAMS service portfolio is the operational forecasting of atmospheric composition using ECMWF’s Integrated Forecasting System (IFS). The IFS is today one of the most comprehensive and advanced systems in the world for data assimilation and forecasting of global atmospheric composition, with operational outputs serving hundreds of users daily and being seen by millions (for instance through CNN, Windy, and other platforms).

With the recent launches of the Meteosat Third Generation Sounder (MTG-S) and the Metop – Second Generation (Metop-SG) satellite platforms hosting instruments such as Sentinel-4, Sentinel-5, 3MI, IRS, and IASI-NG, there is a wealth of new-generation satellite observations available to use in the global CAMS forecasting system. Particularly exciting is the advent of atmospheric composition data from geostationary satellites, such as Sentinel-4, that give hourly air quality information during daytime.

We are looking for two data assimilation scientists, who will contribute to the development of the atmospheric composition data assimilation aspects in the IFS with a specific focus on the implementation of these new satellite observations. The IFS includes specific schemes for representing processes related to aerosol, chemical species, and greenhouse gases and uses 4-dimensional variational (4D-Var) data assimilation to merge the model fields with satellite observations. One of the positions will focus on the data assimilation for chemical species, such as ozone, carbon monoxide, nitrogen dioxide, and others; the other position will focus on the data assimilation for aerosol. The post-holders will work with internal ECMWF staff and externally contracted experts to introduce and evaluate the new observational data streams.

The positions are in the Atmospheric Composition Section of the Research Department, with a close collaboration with relevant teams in the Research and Forecast Departments. The postholder will also collaborate with relevant space agencies, such as EUMETSAT and ESA, as well as with externally contracted entities that directly support the further development of the IFS.

Your Responsibilities

• To introduce and evaluate new observational data streams for aerosol and/or reactive gases in the CAMS global data assimilation and forecasting system, including their use for monitoring emissions
• To maintain and further improve the 4D-Var data assimilation aspects of atmospheric composition in the IFS with a specific focus on aerosols and/or reactive gases
• To contribute to the monitoring of the assimilated satellite data and the assessment of their impact in the IFS
• To assist with technical tasks needed for running atmospheric composition in the IFS
• To assist the CAMS user support for responding to specialised user queries
• To provide technical input into the contractual management of external CAMS contracts that are within the expertise of the successful applicant

The team

The Atmospheric Composition Section oversees the development of the atmospheric composition aspects in the IFS. The role will require significant engagement with Section members and other IFS developers, externally contracted research scientists, and colleagues throughout ECMWF.

What We Are Looking For

• Excellent interpersonal and communication skills
• Collaborative approach to the work
• Dedication, passion and enthusiasm to succeed both individually and as a fully integrated member of the team
• Self-motivated, and able to work with minimal supervision.
• Excellent analytical and problem-solving skills with a proactive and constructive approach
• Flexibility, with the ability to adapt to changing priorities.
• Highly organised with the capacity to work on a diverse range of tasks to tight deadlines.
• Ability and willingness to collaborate with internal and external experts on related aspects of IFS development

Your profile

Education

• An advanced university degree (EQF Level 7) in Meteorology, Physics, Mathematics or similar subject or equivalent experience is required.
• A PhD in a related subject or equivalent experience is desirable

Experience

• Demonstrated experience with atmospheric data assimilation methodologies, such as variational methods (4D-Var) or Ensemble Kalman Filters (EnKF).
• Experience of working with satellite retrievals of atmospheric composition would be an advantage
• Experience with ML approaches for data assimilation would be an advantage
• Experience with developing and maintaining large scientific codes in Fortran90, Python and software lifecycle maintenance in High Performance Computing environments.

Knowledge, Skills

• Ability to work efficiently in a Linux environment is essential
• Knowledge of tools and processes for software management and software quality is highly desirable

We encourage you to apply even if you feel you don't precisely meet all these criteria.

Candidates must be able to work effectively in English. A good knowledge of one of the Centre’s other working languages (French or German) is an advantage.

About ECMWF

The European Centre for Medium-Range Weather Forecasts (ECMWF) is a world leader in Numerical Weather Predictions providing high-quality data for weather forecasts and environmental monitoring. As an intergovernmental organisation we collaborate internationally to serve our members and the wider community with global weather predictions, data and training activities that are critical to contribute to safe and thriving societies.

Our mission: Deliver global numerical weather predictions focusing on the medium-range and monitoring of the Earth system to and with our Member States

Our vision: World-leading monitoring and predictions of the Earth System enabled by cutting-edge physical, computational and data science, resulting from a close collaboration between ECMWF and the members of the European Meteorological Infrastructure, will contribute to a safe and thriving society

About The Copernicus Programme

Copernicus is the earth observation component of the European Union (EU) space programme. Based on the exploitation of spaced-based and in-situ (earth-based) observations and scientific models, Copernicus provides information services for land, marine, atmospheric and climate monitoring, as well as emergency management and security.

Other Information

Grade remuneration: The successful candidates will be recruited according to the scales of the Co-ordinated Organisations. ECMWF also offers a generous benefits package as defined in the ECMWF Staff Regulations.

Starting date: as soon as possible

As a multi-site organisation, ECMWF has adopted a hybrid organisation model that allows flexibility to staff to mix office working and teleworking.

Successful applicants and members of their family forming part of their households will be exempt from immigration restrictions.

Interviews will take place via videoconference (MS Team). If you require any special accommodations in order to participate fully in our recruitment process, please contact us via email:

Who Can Apply

Applicants are invited to complete the online application form.

At ECMWF, we consider an inclusive and diverse 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.

Applications are invited from nationals from ECMWF Member States and Co-operating States, as well as from all EU Member States.

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