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瑞士伯尔尼大学2022年招聘博士后职位(遥感研究)

信息来源:瑞士伯尔尼大学 | 作者:admin | 时间:2022-03-16 10:59

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瑞士伯尔尼大学2022年招聘博士后职位(遥感研究)

Postdoctoral Position

University of Bern

Description

The Remote Sensing Research Group (RSGB) at the Institute of Geography, University of Bern, Switzerland has an opening of a PostDoc position on remote sensing of snow extent (SE). This position is part of a project funded by the European Space Agency (ESA) in the frame of the Climate Change Initiative (CCI) program. The successful candidate will contribute to the ESA CCI+ snow project starting 1.May 2022. The goal of the project is to implement/develop a snow extent time series (1978 – 2023) at global and continental scale retrieved from (Advanced) Very High Resolution Radiometer (AVHRR and VHRR) data. The main focus of the research position will be on algorithm development, (pre-) processing of AVHRR GAC and LAC data, and development of uncertainty measures. The researcher should also contribute to the project reports required by ESA. In addition, a close collaboration with the team members of the international CCI+ snow consortium and RSGB scientists is expected. The PostDoc position of the ESA CCI+ project is funded for a duration of 30 months.

Your profile

PhD in remote sensing with focus on operational systems

Experience in processing of AVHRR data

Excellent skills in programming (Python) and statistical data analysis

Good knowledge in machine learning (ML) and neuronal networks

Experience in Linux systems and handling of big data

Excellent knowledge in English and good writing skills

Relevant peer-reviewed publications

Your tasks

Algorithm development for the retrieval of snow extent (physical based and ML)

Data processing (with support from our ITC expert and an external CCI+ team)

Data analysis, error propagation, and uncertainty assessment of the snow extent product

Presentation and publication of results at project meetings, international conferences and for peer-reviewed publications

Contribution to ESA reporting

Supervision of master students within this project

Starting date: 1. May 2022. Application due date: 15. March 2022.

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