Doctoral Researcher/PhD

The position is offered for a period of 3 years, if no former times of qualification must be considered. The starting date is 01.04.2024. The position is part-time (65 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13, 65 %).

The position is part of the large and collaborative project MW³ (Standardized monitoring of growth responses of important forest tree species to climatic extreme events) that is funded by WaldKlimaFonds (https://www.waldklimafonds.de/) and aims at developing a forest monitoring system to detect growth responses of important forest ecosystems in Central Europe to climatic extreme events.

Within this project, you will deal with the satellite-based spatial monitoring and analysis of tree growth response to climatic extreme events.

Tasks:

• combining multispectral and hyperspectral satellite data with in situ data from ground-based measurements of the target variables sap flow and thickness growth using machine learning techniques
• transfer of the target variables to the plot level to enable spatial monitoring
• combining satellite data with different spatial and temporal resolutions to improve the spatiotemporal resolution of the target variables
• analyze the target variables for extreme climatic events in cooperation with collaborative partners at UFZ (forest modeling) and RWTH Aachen University
• work and cooperate with the partners of the MW³ project

The position is limited to a time period deemed adequate for the completion of a doctoral degree. As part of the assigned duties, there will be ample opportunity to conduct the independent scientific research necessary for the completion of a doctorate. The limitation complies to § 2, 1 WissZeitVG.

Profile:

• MSc degree or equivalent in geography (focus on eco-climatology), geosciences, ecology or comparable subject with high grades
• strong background and interest in satellite-based remote sensing and eco-climatology
• knowledge of the combination of station and satellite data, the processing of large data sets and statistical evaluation methods
• experience with machine learning methods
• knowledge of a programming language (e.g. Python, R)
• proficiency in written/oral English and very good organizational and communication skills
• experience in scientific publication is an advantage

Disposition to own scientific qualification (e.g. a doctorate project in the area of ecological remote sensing) is expected.

We actively support the professional development of junior researchers by the offers of Marburg Research Academy (MARA), the International Office and the Higher Education Didactics Office.

Contact for more Information

Prof. Dr. Jörg Bendix

+49 6421-28 24266

bendix@geo.uni-marburg.de

We support women and strongly encourage them to apply. In areas where women are underrepresented, female applicants will be preferred in case of equal qualifications. As a certified family-friendly university, we support our employees in balancing family and career. A reduction of working time is possible. Applicants with a disability as discribed in SGB IX (§ 2 Abs. 2, 3) will be preferred in case of equal qualifications. Application and interview costs can not be refunded.

Please apply by 07.01.2024 using the button below.