Research Software Engineer for IoT Observations
Bonn | Reading
Job reference: VN22-71
Location: Reading, UK or Bonn, Germany
Deadline for applications: 08/01/2023
Publication date: 11/11/2022
Salary and Grade: Grade A2: £63,782.28 or EUR 78,035.76 basic salary, net of tax + other benefits
Contract type: STF-PL
Contract Duration: 2.5 years up to 31 August 2025
Internet of Things devices and other devices with environmental sensors are ubiquitous. The data that they collect are potentially hugely scientifically valuable for forecasting, but they are totally unlike anything that has been used in this domain previously. They are hugely numerous, typically small and high-frequency, but not calibrated or handled with the care taken of formal observation stations. In the All Data 4 Green Deal (AD4GD) project we will be working to build the data infrastructure to allow us to use this novel data in a meteorological context.
You will be responsible for developing the technology and systems to handle unconventional observational data from private and public sensors, crowd sourced data and internet of things (IoT). The systems will need to perform quality control, encode observations in standardized forms, and store and index the observations before making them available to other project partners through a web service. The data will need to follow standards including OGC, FAIR data and European Data Governance. The technology should as far as possible be made generic and scalable and connect to the existing software tools in ECMWF’s production chain.
You will work in the Data Management Services team in the Development Section of the Forecast Department at ECMWF. The Data Management Services team is responsible for the design and development of all software and systems related to ECMWF core data production services. This includes high-throughput specialist software that supports the operational forecast model, systems for acquisition of incoming observations, management of direct model output, perpetual archival of forecasts and observations, and the dissemination of products to member states and clients.
The team has a particular interest in the long-term exponential growth in data volumes, both as a result of increases in computational capacity but also seen in the increasing number, size and diversity of incoming observations. As such, the team actively engages in research of novel, potentially disruptive, algorithms and methods for our data handling systems, and actively works to evaluate upcoming hardware options. The team also invests in the analysis and development of new data access paradigms in support of novel data-centric workflows which will enable new insights into ECMWF's massive data sets.
The work will be carried out in the AD4GD (AllData4GreenDeal) project, which aims to reduce barriers to sharing heterogenous and unconventional observations between institutions. The work will be carried out alongside and in conjunction with the iCHANGE (individual Change of Habits Needed for Green European transition, H2020) and TRIGGER (Solutions for mitigating climate-induced health threats, Horizon Europe) projects, which aim to collect environmental and socio-economic data for further use within the project and for building applications for users. You will participate in project workshops and meetings and interact with the other project partners to contribute to a successful project. You will also interact with the teams within ECMWF that are handling observations, quality control and data archiving.
Whilst this position will be based in Bonn, Germany, there will be strong collaboration with staff based at the ECMWF office in Reading, UK.
ECMWF is the European Centre for Medium-Range Weather Forecasts. It is an intergovernmental organisation created in 1975 by a group of European nations and is today supported by 35 Member and Co-operating States, mostly in Europe. The Centre’s mission is to serve and support its Member and Co-operating States and the wider community by developing and providing world-leading global numerical weather prediction. ECMWF functions as a 24/7 research and operational centre with a focus on medium and long-range predictions and holds one of the largest meteorological archives in the world. The success of its activities relies primarily on the talent of its scientists, strong partnerships with its Member and Co-operating States and the international community, some of the most powerful supercomputers in the world, and the use of innovative technologies such as machine learning across its operations.
Over the years, ECMWF has also developed a strong partnership with the European Union, and for the past seven years has been an entrusted entity for the implementation and operation of the Climate and the Atmosphere Monitoring Services of the EU's Copernicus component of its Space Programme, as well as a contributor to the Copernicus Emergency Management Service. The collaboration does not stop there and includes other areas of work, including High Performance Computing and the development of digital tools that enable ECMWF to extend its provision of data and products covering weather, climate, air quality, fire and flood prediction and monitoring.
ECMWF now is a multi-site organisation, with its headquarters based in Reading, UK, its new data centre in Bologna, Italy, and new offices in Bonn, Germany. For additional details see www.ecmwf.int.
- Developing software and systems to handle unconventional observations, including quality control, storage, indexing and archival
- Develop, deploy and maintain a system to serve observational data to external project partners.
- Contribute to a pilot system for further integration of unconventional observations into ECMWF’s operations systems.
- Representing ECMWF at external and international meetings and scientific conferences.
- Excellent analytical and problem-solving skills with a proactive and constructive approach
- Flexibility, with the ability to adapt to changing priorities and user needs
- Excellent interpersonal and communication skills are vital, to communicate with a wide range of technically skilled colleagues, including remote teams, and to non-technical staff
- Dedication and enthusiasm to work in a team and across teams
- Highly organised with the capacity to work on a diverse range of tasks to tight deadlines
- An advanced university degree (EQ7 level or above) or equivalent experience in computer science or engineering, computational science, physics or natural sciences, mathematics, or a related discipline.
- Demonstrated experience developing large scale, object-oriented software
- Knowledge of web services and standards such as OGC or GEOSS is advantageous
- Experience in Object-Oriented Analysis and Design
- Experience developing with Python and software lifecycle maintenance is required. Knowledge of C or C++, and especially of interfacing these with python is an advantage.
- Candidates must be able to work effectively in English and interviews will be conducted in English. Knowledge of one of ECMWF’s other working languages (French or German) would be an advantage but is not essential.
The successful candidates will be recruited at the A2 grade, according to the scales of the Co-ordinated Organisations and the annual basic salary will be EUR 78,035.40 (Bonn) or £63,782.28 (Reading) net of tax. ECMWF also offers a generous benefits package, including a flexible teleworking policy. The position is assigned to the employment category STF-PL as defined in the ECMWF Staff Regulations. Full details of salary scales and allowances available on the ECMWF website at www.ecmwf.int/en/about/jobs, including the ECMWF Staff Regulations and the terms and conditions of employment.
Starting date: As soon as possible.
Length of contract: The contract duration is expected to be approximately 2.5 years until 31 August 2025. Contract extensions are subject to requirements and funding availability.
Location: Bonn, Germany or Reading, UK.
As a multi-site organisation, ECMWF has adopted a hybrid organisation model which allows flexibility to staff to mix office working and teleworking. We allow for remote work 10 days/month away from the office and up to 80 days/year away from the duty station (within the area of our member states and co-operating states). Successful applicants and members of their family forming part of their households will be exempt from immigration restrictions.
Interviews by videoconference (MS Teams) are expected to take place shortly after the closing date.
Applicants are invited to complete the online application form by clicking on the apply button below.
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.
Applications are invited from nationals from ECMWF Member States and Co-operating States, as well as from all EU Member States.
ECMWF Member and Co-operating States are: Austria, Belgium, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Latvia, Lithuania, Luxembourg, Montenegro, Morocco, the Netherlands, Norway, North Macedonia, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.
In these exceptional times, we also welcome applications from Ukrainian nationals for this vacancy.
Applications from nationals from other countries may be considered in exceptional cases.