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PhD position or Postdoctoral researcher (m/f/d) (Geophysiker/in)

Senckenberg Gesellschaft für Naturforschung

Alemania📅 28/10/2026

Descripción

PhD position or Postdoctoral researcher (m/f/d): Effects of global livestock management on wildlife movementSenckenberg Society for Nature Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position at the Senckenberg Biodiversity and Climate Research Centre (SBiK-F), starting as of 01 January2027:PhD position or Postdoctoral researcher (m/f/d):Effects of global livestock management on wildlife movementitel (m/f/d)(Part-Time)Location: Frankfurt am MainEmployment scope: PhD position (65%) / PostDoc (up to 60%)Type of contract: Temporary, limited to 4 years, until 31.12.20230Remuneration: Collective agreement of the state Hesse (TV-H) / E 13The Senckenberg Society for Nature Research is a member of the Leibniz Association and has been investigating the “Earth System” worldwide for more than 200 years, examining the past, analysing the present, and developing projections for the future. We conduct integrative geobiodiversity research with the aim of understanding nature in all its complexity and diversity in order to preserve it as the foundation of life for future generations and to ensure its sustainable use. Across eight institutes and five research stations throughout Germany, scientists from more than 40 countries conduct research at the highest international level.The mission of the Senckenberg Biodiversity and Climate Research Centre is to study the complex interactions between biodiversity, climate and society.As part of the Centre, the group “Global Land Systems and Biodiversity” takes a system perspective on how production, trade and consumption of food and other biomass products affect ecosystems and people.The VEBITA project, conducted jointly by SGN, the Marburg University and the Institute for Social-Ecological Research (ISOE) brings together researchers and practice partners to work towards utilizing animal movement data for early-warning systems for nature conservation. By analyzing GPS and sensor data from animals with
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