Do you want to be involved in developing tomorrow's climate knowledge and a qualified decision basis for society and business? To meet society's expectations for information about future climates, Rossby Centre is now complementing its staff. We offer a stimulating environment with external contacts and flexible working hours.

The Rossby Centre is SMHI's climate modeling unit. At Rossby Centre technology and climate science meets. Our main tools are the global and regional climate models developed within the research unit.

Rossby Centre participates in national and international projects with research on climate processes, development of climate models and new forms of climate information. The research increases the understanding of the climate and is an important basis for climate services for societal sectors. Development of climate information and corresponding data is important for decision-making on adaptation measures in society and business.

About the job

We are now looking for a scientific programmer who, in close collaboration with climate experts at Rossby Centre, will develop and apply advanced software, mainly coded in Python, for an improved and more efficient analysis and evaluation of climate model data and to contribute improving climate model infrastructure.

Central tasks are

• to contribute to development and application of the analysis and evaluation tools ESMValTool (a diagnostic and performance metrics tool for routine evaluation of Earth system models), Climix (a climate index package) and MIdAS (a multi-scale bias adjustment tool for climate data).
• to contribute to the production of quality-assured climate data through work within model infrastructure, data standardization, experimental design and model development.
• to contribute to the development of the Earth system model EC-Earth, in particular to the coupling of components and carry out EC-Earth simulations.

All the tasks require also to manage and process large data volumes – mainly in NETCDF data format - as well as to improve the corresponding tools.

Activities at Rossby Centre are largely funded by external funding agencies. Thus, over time, tasks will vary depending on the projects Rossby Centre will be involved in.

Initially, the work will contribute to the Horizon 2020 project ESM2025 (Earth system models for the future), the Horizon Europe project AI4PEX (Artificial Intelligence for enhanced representation of processes and extremes in Earth System Models), and the SMHI-project ‘Method development Climix and MIdAS’ to support the climate data production chain to climate services at SMHI.

Your profile

We are looking for you who have a degree from university in climate, atmospheric or ocean science, in mathematics, physics, computational science, or a related field. A doctoral degree or comparable experience is a merit.

You must have extensive expertise in programming with Python and expertise in data analytics. You must also have expertise of using latest High-Performance Computing environments and the ability to collaborate according to modern development methodologies.

It is a strong advantage if you have expertise from programming and working in a climate or natural science working environment.

Further, expertise in one or more of the following areas is an advantage:

• Knowledge of several programming languages such as Fortran, C, Rust or Shellscript
• Application of any of the Python environments Dask, Numpy, Iris, Conda-forge
• Processing and analyzing large volumes of data
• Climate model development
• Research on climate, atmosphere, ocean or on other Earth system components
• Climate model data standards
• Application of machine learning methods, for example usage of any of PyTorch, Tensorflow or Keras

Personal qualities are of high importance. You should be analytical and have the ability to plan and drive the work forward. You are responsible and appreciate collaborating with colleagues. A habit of delivering results on time with good quality is expected. You are flexible and have the will to contribute to different areas of work.

A work permit to work in Sweden (which applies to EU citizens) is an advantage.

Good knowledge of English in both speech and writing is required. Knowledge in Swedish is an advantage.

 

Form of employment: Employed until further notice

Placement: Placement is at our office in Norrköping.

Application deadline: May 19 - 2024

 

Welcome with your application.

 

SMHI is an expert authority with a global outlook and a vital mission to forecast changes in weather, water and climate. With a scientific foundation, we use knowledge, research and services to contribute to a more sustainable society. Every hour of every day, all year round.

SMHI is an Agency with a specific responsibility for civil preparedness. Therefore you could be appointed to be mobilised to SMHI for wartime posting.

Bear in mind that all the documentation and information you send to SMHI in conjunction with your application will be classified as public documents. This means that all the material contained in your application, including attachments, may be disclosed if so requested by a party, on the condition that the information is not subject to confidentiality in accordance with the Public Access to Information and Secrecy Act. You should therefore primarily provide such information that you deem to be relevant in relation to the requirements of the position. Think about your own personal privacy, and avoid sharing information that contains sensitive personal data, or information about your health or that of a family member, your political views or religious beliefs.

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