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Offer 33 out of 52 from 04/04/24, 10:31

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Technische Universität Berlin - Faculty VI - Institute of Landscape Architecture and Environmental Planning - Chair of Geoinformation in Environmental Planning

Technische Universität Berlin offers an open position:

Research assistant - salary grade E 13 TV-L Berliner Hochschulen

part-time employment may be possible
under the reserve that funds are granted

Working field:

The EU Biodiversity Strategy includes a field of action for the protection, restoration, and expansion of forests and open landscapes in the EU to combat climate change, reverse the loss of biodiversity, and maintain resilient multifunctional ecosystems. Within the framework of the OpenPrioBio project, an innovative and transferable method for prioritizing areas in need of protection to promote biodiversity will be developed using AI methods such as reinforcement learning and explainable AI. This method will consider biological and climate-related factors such as drought, fire, storms, flooding, insect infestations, or the spread of invasive species, taking into account habitats with high biodiversity. The project is carried out in cooperation with the State Agency for Nature, Environment, and Consumer Protection of North Rhine-Westphalia (LANUV), Luftbild Umwelt Planung GmbH (LUP), and the Federal Agency for Nature Conservation (BfN).

The Geoinformation for Environmental Planning Lab of the Technische Universität Berlin offers one research assistant positions in remote sensing and AI. The aim of this research project within the OpenPrioBio research project is:

  • Research and processing of relevant remote sensing, geo, and citizen science data, as well as biodiversity reference data for test areas, and the establishment of a geodatabase.
  • Application of the Reinforcement Learning AI algorithm to a selected set of variables to develop an adapted protected area strategy.
  • Multiscale expansion through integration of various climate scenarios, protected area strategies, and monitoring methods (including remote sensing data, citizen science data).
  • Application of the XAI algorithm to identify drivers

Requirements:

  • A successfully completed academic degree (Master, Diploma or equivalent) in a relevant field, preferably environmental sciences, environmental planning, geoecology, physical geography, or a related field with a strong emphasis on remote sensing and AI
  • extensive experience in the application of AI techniques and in the analysis of remote sensing data
  • proficiency in programming (R or Python)
  • Good knowledge of German and/or English required; willingness to acquire the respective missing language skills

Desirable:

  • knowledge in European nature conservation planning
  • enthusiasm for working in an interdisciplinary team

How to apply:

Please send your application with the reference number and the usual documents (cover letter including description of research interests and relevant experiences, a current CV, academic transcripts) only by email (combined in a single pdf file, max. 5 MB) to Prof. Dr. Birgit Kleinschmit (birgit.kleinschmit@tu-berlin.de) and Prof. Dr. Annette Rudolph (annette.rudolph@tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.