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首爾國立大學Ecological Sensing AI Lab 招聘全球植被與生態(tài)遙感方向博士后2名
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韓國首爾國立大學農(nóng)業(yè)與生命科學學院 Youngryel Ryu (ryuyr77@gmail.com) 課題組招聘 全球植被與生態(tài)遙感相關(guān)方向博士后2名,最好具有陸地生態(tài)系統(tǒng)碳水通量等研究經(jīng)驗。 PI人很nice,并致力于打造國際化的研究團隊,課題組氛圍很好。學校坐落在環(huán)境優(yōu)美的冠岳山,并提供高性價比人才公寓,歡迎小伙伴們聯(lián)系咨詢。 具體招聘信息見實驗室網(wǎng)站:https://www.environment.snu.ac.kr/postdoc-global-vegetation 職位描述: 2 postdoc positions for global remote sensing of vegetation We are seeking two postdoctoral fellows for global remote sensing of vegetation. Postdoc 1: Generating a long-term, consistent vegetation data As a part of LEMONTREE consortium (https://research.reading.ac.uk/lemontree/), this postdoc will develop a long-term (1980s-now), consistent (orbit drift correction etc) vegetation records (NDVI, fPAR, LAI, NIRv, SIF, etc.) by merging multiple satellite data and machine learning. The generated data will be used as forcing and/or benchmark data for LSM which will be developed in the LEMONTREE consortium. SNU and Columbia (Pierre Gentine group) take the lead in remote sensing part in the consortium, so the postdoc will be required in taking the leadership in the collaboration. Postdoc 2: Understanding interannual variability and trends of global land surface fluxes Our group has been making satellite based long-term land surface flux [radiation (SW, PAR, diffuse PAR), energy (Rnet, H, LE), water (ET), and carbon (GPP, RECO, NEE)] maps. The postdoc will investigate interannual variability and trends of the coupled fluxes and states (e.g. LUE, CUE, WUE) concurrently with independent datasets such as FLUXNET, LSMs , atmospheric inversion and other RS datasets. Close collaboration with Posdoc1 and external collaborators will be required. |
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