|From||"Knohl, Alexander" <email@example.com>|
|To||CLIMLIST <firstname.lastname@example.org>, <email@example.com>|
|Date||Thu, 12 Dec 2019 16:42:34 +0100|
Researcher / Data Scientist in Remote Sensing/LiDAR (f / m / d)in the Central Scientific Service Project Z02 “Remote Sensing” at the Bioclimatology group, Faculty of Forest Sciences and Forest Ecology.
The position will be limited to 31 December 2021 and should be filled as soon as possible. Salary: The salary is in accordance with the German public service salary scale TV-L E13 (100%), which corresponds to 39.8 working hours per week.
Your duties - Processing of airborne LiDAR and other remote sensing data- Computing comprehensive set of LiDAR / Hyperspectral based indicators of forest structure (2D/3D)
- Data management of large spatial data - In situ validation of data products - Operation of the EFForTS WebGIS Your profile (technical skills)- Academic degree (minimum Dipl. / M.Sc.) in geography / forestry / biology or related subjects. PhD prefered. - Experience in processing and analysis of spatial data. A focus on LiDAR-data is desirable. - Very good skills in statistics and / or quantitative spatial data analysis.
- Experience in interdisciplinary scientific projects is desirable. Your profile (personal skills) - Motivation for field work in tropical environment. - Ability to work under pressure, team player. - Very good skills of English language.The project will be based in Goettingen, but field work is done in Indonesia.
The University of Goettingen is an equal opportunity employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference.
Please send your application with a letter of motivation, a statement of research interests, your CV and copies of certificates in electronic form as a single pdf file by 10. Jan. 2020 to
firstname.lastname@example.org.If you have any questions, please contact Prof. Alexander Knohl at email@example.com.
The documents will be destroyed after a holding period of three months. Please note:With submission of your application, you accept the processing of your applicant data in terms of data- protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR) at hhtps://www.uni-goettingen.de/hinweisdsgvo.
___________________________________________________________ Alexander Knohl Professor of Bioclimatology Faculty of Forest Sciences University of Goettingen Büsgenweg 2, 37077 Göttingen, Germany phone: +49 551 39 33682 fax: +49 551 39 9619 web: http://www.uni-goettingen.de/bioklimatologie http://www.researcherid.com/rid/F-9453-2014 http://orcid.org/0000-0002-7615-8870
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