Postdoctoral researcher (Greenhouse gas modeling using satellites and high-performance computing)
The Finnish Meteorological Institute (www.fmi.fi/en) Carbon Cycle group and the Greenhouse Gases and Satellite Methods Group seek for an enthusiastic and motivated postdoctoral researcher for a climate science project at Helsinki/Kumpula in Finland. The researcher will work in the forefront of carbon cycle research in both groups and internationally to ultimately help support the goals of the Paris Agreement.
Work tasks
The Carbon Cycle group studies the cycling of greenhouse gases in vegetation and soil, and interactions and feedbacks between atmosphere and biosphere, as well as global greenhouse gas sinks and sources. The group uses advanced modelling tools and data-assimilation methods to combine models with measurements. The Greenhouse Gases and Satellite Methods group studies greenhouse gases using a variety of novel satellite data. The group develops sophisticated data-driven methods for analysing the sources and sinks of greenhouse gases and evaluating the reliability of the observations. The research is linked with the Academy of Finland Centre of Excellence in Inverse Modelling and Imaging.
The postdoctoral researcher will study sources and sinks of greenhouse gases by using advanced modelling, high-performance computing, and satellite observations. The focus of the post-doctoral project is to develop atmospheric inverse modeling methods and implement the CIF atmospheric inverse model in CSC (IT Center for Science Ltd) supercomputer LUMI. The researcher will perform computationally demanding simulations in high resolution relevant for GHG source partitioning, analyse simulation results, and work with the most recent, extensive satellite observations (e.g., from ESA Sentinel 5P TROPOMI, Nasa OCO-2) and synthetic near-future satellite data (CO2M). The work includes preparation of scientific articles related to methodological development of the model system and satellite data assimilation, and natural and anthropogenic methane and carbon dioxide budgets with uncertainty estimates. The team develops in particular national emission estimates for Finland to help verify and support the goals of the Paris Agreement.
Qualifications
- PhD degree or equivalent in a suitable field, e.g., computer science, data science, atmospheric sciences, physical sciences, mathematics, engineering (also applicants near the completion of the degree will be considered)
- Strong programming skills (e.g. Python, Fortran) and use of command line tools
- Good spoken and written English language skills
- Willingness to travel and work internationally
- Proven track-record on writing scientific publications
- Ability to carry out independent, systematic, well-organised research work as well as work as part of a team
- Good communication skills
Candidates with the following qualifications will be given additional consideration
- Expertise in atmospheric sciences, carbon cycle studies, greenhouse gases and/or satellite remote sensing
- Experience with working in supercomputing environment, specifically with massively parallel computing, and with large data sets
- Experience in data visualization and data analysis
- Strong interest in research and motivation for publishing research results in scientific and general forums
- Spoken and written Finnish language skills
We offer an inspiring working environment, development opportunities and support from our friendly research team!
The position is a fixed-term employment, and it will start on 1st April, 2022 (or as agreed) and will end on 31st March, 2023 (with a possible extension). The position includes a probationary period of three months in the beginning. The position will be located in Helsinki, Finland. Salary will be based on experience and performance according to the FMI salary scale, base level 12. Work languages are Finnish and English (the knowledge of Finnish is not required).
Send your free-form application with attachments (CV, transcript of records, list of publications and the contact information of maximum three references persons) https://www.valtiolle.fi/en-US/Vacancy?id=31-68-2022 by 15 March, 2022 at 2 p.m. (EET). You can leave your application in Finnish or English.
For more information, please contact Principal Scientist Tuula Aalto, tuula.aalto@fmi.fi or Head of Group Hannakaisa Lindqvist, hannakaisa.lindqvist@fmi.fi.
0 comments:
Post a Comment