University of Oslo
Postdoctoral Research Fellow in terrestrial carbon cycle modelling
접수중2025.06.03~2025.08.15
채용 정보
접수 기간
2025.06.03 00:00~2025.08.15 23:00
접수 방법
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채용 구분
경력 무관
고용 형태
계약직
지원 자격
박사
모집 전공
해양학, 지구・지리학더보기
기관 유형
대학교
근무 지역
해외(노르웨이)더보기
The Department of Geosciences (IGF), University of Oslo (UiO), invites applications for a Postdoctoral Research Fellow in terrestrial carbon cycle modelling. This position is associated with the recently funded project "Norway’s carbon sink under climate change (NorSink)" supported by the Norwegian Research Council. This project is a collaborative effort between several Norwegian research institutions (CICERO, NIBIO, NIVA, NTNU and UiO), and the position will be supervised Terje Berntsen and Norbert Pirk (IGF, UiO).
The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.
The postdoc will work on improving and applying the land surface model CLM (Community Land Model) that is used in the Norwegian Earth System Model (NorESM). In the project, the CLM model will be using the FATES (Functionally-Assembled Terrestrial Ecosystem Simulator) terrestrial ecosystem model and the MIMICS+ module for soil carbon decomposition. FATES simulates and predicts growth, death, and regeneration of plants and subsequent tree size distributions by tracking natural and anthropogenic disturbance and recovery. It does this by allowing plants with different traits to compete for light, water, and nutrients. MIMICS+ is microbial explicit module to simulate soil carbon decomposition and nutrient cycling, by including growth and decay of saprotrophs (bacteria and fungi) as well as mycorrhiza fungi.
The postdoc will work together with UiO expertise on data assimilation to calibrate the coupled CLM-FATES model using:
- Snow cover
- Flux tower data
The idea is to combine established iterative ensemble Kalman methods with novel emerging machine-learning-enabled model calibration techniques recently adopted in CLM-FATES at UiO.
For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/281332/postdoctoral-research-fellow-in-terrestrial-carbon-cycle-modelling
근무 예정지
대표해외(노르웨이) : Norway, Department of Geosciences
관련 키워드
기관 정보
University of Oslo
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기관유형
대학교(해외)
대표전화
+47 22 85 50 50
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Problemveien 11, 0313 Oslo
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