The position is based in the Climate Impacts and Adaptation Unit, within the Climate Change and Future Cities group. Your main responsibility will be to develop machine learning methods for producing high-resolution climate datasets. In this role, you will work with and integrate large volumes of multi-source data, including climate model outputs, observational data, geospatial datasets, and demographic data. You will actively contribute to the development and impact of your research group as part of a multidisciplinary research unit. In addition, you will participate in developing technical solutions for new climate services, including programming and database solutions as required in other projects of the unit. Depending on your expertise and interests, your tasks may also include the development and programming of various climate services and applications, as well as supporting the research unit’s broader programming needs.

Your work will be part of the SmartClim project, funded by the Academy of Finland, as well as the ILMOS-Uusimaa project. In both projects, we develop methods that combine extensive observational and modelling datasets with local-level information to produce high-resolution spatio-temporal data for various microclimatic variables, as well as climate indicators derived from them. The methodological development relies on machine learning and statistical multivariate analysis. The work is based on measurement data from the Finnish Meteorological Institute’s local observation networks, which are currently being expanded under the SmartClim project to cover a network of several hundred measurement sites across the Helsinki metropolitan area.

Read more about our research: https://www.ilmatieteenlaitos.fi/ilmastovaikutukset-ja-sopeutuminen and https://www.ilmatieteenlaitos.fi/smartclim

• A relevant Master’s degree for the position (e.g. meteorology, computer science); recent graduates with the right to pursue doctoral studies will also be considered
• Strong theoretical understanding and demonstrated practical experience in machine learning methods
• Experience in handling large datasets
• Understanding of statistical multivariate methods (using e.g. Python or R)
• Experience with data interfaces (APIs), data processing, and data integration
• Programming and data visualization skills
• Experience working in Unix-based environments
• Good written and spoken English
• Willingness and ability to travel for work
• Strong interaction and communication skills
• Good organizational skills and a proactive, goal-oriented working approach
• Ability to work independently as well as part of a research team

Considered an Advantage

• A doctoral degree in a relevant field
• Evidence of scientific publications
• Ability to produce high-quality scientific research and/or research-based applications
• Strong programming skills with low-level languages

In this position, you will have the opportunity to engage in and contribute to societally relevant research as part of an international research group. To support your work, we offer the backing of our friendly research team, along with modern office facilities and tools. Our premises include a staff restaurant, café, and gym, as well as a range of cultural, sports, and wellbeing benefits (ePassi) to support your overall wellbeing.

The Finnish Meteorological Institute is an internationally respected research institution and a family-friendly workplace that supports a healthy work–life balance. Our working community is multinational, highly educated, and characterized by a high level of job satisfaction. We offer comprehensive occupational healthcare and paid annual leave in accordance with the length of employment. Working hours are flexible, and partial remote work is possible.

For further information about the position, please contact group leader Thomas Kühn, thomas.kuhn@fmi.fi, +358 505 218 291. Questions preferably by email.

The Registry of the The Finnish Meteorological Institute

P.O.BOX 503 (Erik Palménin aukio 1, 00560 Helsinki) 00101 Helsinki
00560 Helsinki

The Finnish Meteorological Institute makes observations and research on the atmosphere, the near space and the seas. It also provides services on weather, sea, air quality, climate and near space for the needs of public safety, business life and citizens. The Finnish Meteorological Institute is an administrative branch of the Ministry of Transport and Communications.

• More information: The fixed-term position will commence on 11 May 2026 (or as soon as possible by agreement) and end on 31 December 2027. The position is located in Kumpula, Helsinki.
  
  Please submit your application, including a CV, list of publications, and contact details for 1–3 referees, by 30 April 2026 at 14:00 (EET) via the valtiolle.fi recruitment system.
• Level of position: Specialists
• Remote work: Possibility to work remotely
• Description of the remote work: Partial remote work is possible.
• Reason for fixed-term employment: Nature of work
• Additional info about fixed-term employment: Project work
• Working time format: Office working hours
• Trial period: A three-month probationary period may apply at the beginning of the employment.
• Remuneration information: Salary will be determined in accordance with the Finnish Meteorological Institute’s salary system, based on job complexity levels 11.5-12 and the selected candidate’s skills and experience. For a postdoctoral researcher, the position is placed at complexity level 11.5-12, with a typical total starting monthly salary of approximately EUR 3,600-4,400. For a doctoral researcher, the position is placed at complexity level 11, with a typical total starting monthly salary of approximately EUR 3,100-3,750.