Geospatial Modeler and Remote Sensing - Leipzig, Deutschland - German Centre for Integrative Biodiversity Research (iDiv)
vor 3 Wochen
Beschreibung
External Job Announcement
**Reg.
Nr. 4-401/23-D
Modern, interconnected, conscious of tradition:
Martin Luther University Halle-Wittenberg (MLU) is
the oldest and largest university in the State of Saxony-Anhalt with a history dating back more than
500 years. Today more than 20,000 students are enrolled at the university. MLU's core research areas
are in the nanosciences and biosciences, the Enlightenment, as well as in social and cultural research.
The university is also home to a range of small disciplines, some of which can be found nowhere else
in Germany. The university has excellent national and international ties, and works closely together
with leading research institutes, industry, and more than 250 universities around the world.
The Martin Luther University Halle-Wittenberg, in cooperation with the German Centre for Integrative
Biodiversity Research (iDiv) Halle-Jena-Leipzig, offers the following 1-year position with possibility of
renewal, starting as soon as possible (023):
Geospatial Modeler and Remote Sensing for the European Topic Center
**on Biodiversity and Ecosystems (ETC-BE) (m-f-d)
as full-time employment_. _
The salary will be up to Entgeltgruppe 13 TV-L if the personal requirements and tasks are fulfilled. This
position will be based at iDiv in Leipzig within the Biodiversity Conservation research group.
The project and research group:
The
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig is a National
Research Centre funded by the German Research Foundation (DFG). Its central mission is to promote
theory-driven synthesis and data-driven theory in integrative biodiversity research. It is located in the
city of Leipzig and it is a central institution of the Leipzig University, jointly hosted by the Martin Luther
University Halle-Wittenberg (MLU), the Friedrich Schiller University Jena and the Helmholtz Centre for
This position is affiliated with the Biodiversity Conservation Professorship of Prof. Henrique Pereira.
Fernández. The Biodiversity Conservation group investigates patterns and processes of global
biodiversity change, with the goal of informing environmental policy and management of ecosystems.
For more information, please visit our lab website:
This position is funded by the
European Environment Agency (EEA) European Topic Centre on
Biodiversity and Ecosystems Program (ETC-BE).
ETC-BE aims to support the EEA with
updated information on biodiversity and ecosystems, mostly through co-creation, and thus support
veröffentlicht am
the EEA with the next generation of thematic and integrated biodiversity and ecosystem assessments
as well as identification of actionable nature-based solutions. Thereby, the joint work of the EEA and
ETC BE will support the implementation of the Green Deal. The job will be performed in collaboration
with a large consortium of partner institutions and organizations across Europe.
The position aims at developing and advancing the science required for the integration of information
from the different information streams supporting the European Nature Directives, Nature Restoration
Law, Protected Areas Reporting, and other aspects related to the ETC-BE reporting requirements using
state-of-the-art modeling and statistical techniques. This position will be a part of a wider ETC-BE-iDiv
technical and scientific team and the post holders will be required to promote and maintain a
transversal view of related tasks.
Tasks:
- Analyzing methodologies to monitor ecosystem condition using remote sensing, including
- Research on Essential Biodiversity Variables workflows
- Research on mapping of potential forest restoration and supporting the work on forest condition
- Research on extent, distribution and connectivity of existing and potential old growth forest sites
- Coordinating the assessment and development of methodologies for mapping and monitoring
- Writing research articles on the work carried out
Requirements:
- Scientific University degree (Diploma/M.Sc.) in Geography, natural sciences, computer science or
- PhD degree in Ecology, Environmental Sciences, Biodiversity Informatics, or a related field is a plus
- Extensive knowledge of stateoftheart spatial and statistical modeling techniques accompanied
- demonstrated experience in machine learning modeling is advantageous
- Demonstrated experience in stateoftheart remote sensing of vegetation
- Demonstrated ability in handling and analyzing large geospatial biodiversity data from different
- Demonstrated scientific
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