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shepherd628

木虫 (小有名气)

应助: 0 (幼儿园)
金币: 4569.8
帖子: 236
在线: 178.1小时
虫号: 2366416

[交流] 首尔国立大学Ecological Sensing AI Lab 招聘全球植被与生态遥感方向博士后2名

韩国首尔国立大学农业与生命科学学院 Youngryel Ryu (ryuyr77@gmail.com) 课题组招聘全球植被与生态遥感相关方向博士后2名，最好具有陆地生态系统碳水通量等研究经验。

PI人很nice，并致力于打造国际化的研究团队，课题组氛围很好。学校坐落在环境优美的冠岳山，并提供高性价比人才公寓，欢迎小伙伴们联系咨询。

具体招聘信息见实验室网站：https://www.environment.snu.ac.kr/postdoc-global-vegetation

职位描述：
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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2021 International Conference on Digital City Construction and Information Technology (DCCIT 2021)
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