We are seeking a motivated researcher for a three-year research project at the Finnish Meteorological Institute’s main office in Kumpula, Helsinki.
The position plays a key role in the project SNOWBALL funded by the Research Council of Finland. The project aims to improve understanding of changes in Arctic snow and ice by combining advanced numerical modeling with remote sensing and field observations.
The SNOWBALL project will develop a modeling system by combining two advanced modeling tools: the SnowModel, for simulating the physical properties of snow, and the Snow Microwave Radiative Transfer (SMRT) model, for simulating the interactions between snow and remote sensing signals, especially radar altimeter signals. In-situ observations from recent Arctic expeditions will be used to validate and configure the modeling system. The knowledge gained will guide advancing the interpretation of radar altimetry measurements, improving retrieval algorithms for snow and ice thickness, deepening the understanding of seasonal and long-term cryospheric changes, and delivering validated numerical models applicable to diverse Arctic environments and conditions.
The postdoctoral researcher’s tasks will include coupling the SnowModel and SMRT models and software development of the integrated modeling environment, contributing to model analysis and development using remote sensing and field observations, communicating their research in conferences and high-impact, international scientific journals, and contributing to other project and research activities of the research group.
We are seeking a motivated researcher for a three-year research project at the Finnish Meteorological Institute’s main office in Kumpula, Helsinki.
The position plays a key role in the project SNOWBALL funded by the Research Council of Finland. The project aims to improve understanding of changes in Arctic snow and ice by combining advanced numerical modeling with remote sensing and field observations.
The SNOWBALL project will develop a modeling system by combining two advanced modeling tools: the SnowModel, for simulating the physical properties of snow, and the Snow Microwave Radiative Transfer (SMRT) model, for simulating the interactions between snow and remote sensing signals, especially radar altimeter signals. In-situ observations from recent Arctic expeditions will be used to validate and configure the modeling system. The knowledge gained will guide advancing the interpretation of radar altimetry measurements, improving retrieval algorithms for snow and ice thickness, deepening the understanding of seasonal and long-term cryospheric changes, and delivering validated numerical models applicable to diverse Arctic environments and conditions.
The postdoctoral researcher’s tasks will include coupling the SnowModel and SMRT models and software development of the integrated modeling environment, contributing to model analysis and development using remote sensing and field observations, communicating their research in conferences and high-impact, international scientific journals, and contributing to other project and research activities of the research group.
The applicant should have a PhD degree, or be close to graduating, in the field of geophysics or other equivalent fields in natural, computer, or engineering sciences. In addition, the applicant should possess:
• experience in using and/or developing numerical models
• strong programming skills (especially Python and object-oriented programming; knowledge of Fortran is considered an advantage) and use of mathematical analysis tools
• understanding of snow and ice physical processes and microwave interactions
• an excellent command of both written and spoken English
• a proven track-record on writing scientific publications
• willingness to travel and work internationally
• ability to carry out independent, systematic, well-organized research work as well as work as part of a team, and good interpersonal communication skills
Beneficial for the applicant
• experience with SnowModel, SMRT, and/or similar models
• experience in remote sensing applications
• field research experience
• spoken and written proficiency in Finnish
- English
- Speaking: Excellent
- Writing: Excellent
- Understanding: Excellent
The Finnish Meteorological Institute is a family-friendly workplace that supports its employees in balancing work and private life. Employees are provided with comprehensive occupational health care and paid annual leave, which accrues according to the length of the employment relationship. Also versatile cultural, sports, and wellness benefits are provided to support your wellbeing. We apply a hybrid working model with a mix of remote and on-site work as agreed.
For more details, please contact Researcher Arttu Jutila, arttu.jutila@fmi.fi, tel. +358 50 460 5587, and Group leader Juha Lemmetyinen, juha.lemmetyinen@fmi.fi, tel. +358 40 730 3663.
Primarily, we request applicants to submit their applications electronically via the Valtiolle.fi service. However, you can also apply for this job by delivering your application to the Registry Office’s postal address. Both the application and the envelope must feature the ID number of the position applied for. The letter must be delivered by the end of the application period.
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.
Location
Erik Palménin Aukio 1, 00560 Helsinki
You can work at one of our following locations
Erik Palménin aukio 1
00560 Helsinki
Other information of the position
To apply submit an application including a cover letter (motivation), CV, publication record, and one to three names of reference persons by 14 November 2025 at 2 p.m. (EET) via Valtiolle.fi recruitment service.
