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Postdoctoral position; m​/f​/d Bonobo history incl. data base management

Online/Außer Haus - Idealerweise für Kandidaten in
Möggingen, Baden-Wurttemberg, Deutschland
Unternehmen: Max-Planck-Institut für Verhaltensbiologie
Fernarbeit/Heimarbeit position
Verfasst am 2026-10-11
Berufliche Spezialisierung:
  • Forschung/Entwicklung
    Forschungswissenschaftler, Biologie
Gehalts-/Lohnspanne oder Branchenbenchmark: 52000 - 70000 EUR pro Jahr EUR 52000.00 70000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Postdoctoral position (m/f/d) 100 % “Bonobo life history incl. data base management”
Location: Möggingen

The Max Planck Institute of Animal Behavior at its sites in Konstanz and Radolfzell offers an international, interdisciplinary, and cooperative environment that opens up unique research opportunities. The goal of our basic research is to develop a quantitative and predictive understanding of the decisions and movements of animals in their natural environment.

For the Bonobo Behavioral Ecology Research Group at the Max Planck Institute of Animal Behavior we are looking for a highly motivated Postdoc. The workplace will be in Konstanz, Germany.

Postdoctoral position (m/f/d) 100 % “Bonobo life history incl. data base management”

The project

We are looking for a postdoc to work on our long-term database, establishing an accessible framework that allows access to our core bonobo project and its multiple accompanying projects. The bonobo project focuses on behavioral, ecological and physiological data of wild bonobos, collected over more than two decades. These data make it possible to investigate and answer proximate and ultimate questions at an individual level.

In addition, data from multiple related projects focus on the ecosystem in which the species is embedded. This includes the availability and choice of food, as well as the role of bonobos as both hunters and prey within this complex system. Line transect, camera trap, acoustic, and other survey data are available to obtain a deep understanding of the animal and plant communities in which bonobos are embedded.

The candidate will be responsible for incorporating long‑term data available on various analog and digital storage media into a continuously growing relational database. Two technicians, as well as a team of experienced project members, will contribute to allow this database to grow in a meaningful way. The candidate will be expected to make use of the growing database by analyzing the project’s existing long‑term data and, ideally, contributing to the project’s scientific output.

Our Group

The “Bonobo Behavioral Ecology Research Group” is an international research group led by Prof. Dr. Barbara Fruth. At the moment, our group consists of two senior researchers, one postdoc, three PhD students, several independent scientists, one database manager, several MSc students; as well as a team in the host country DRC. We are embedded within the stimulating research environment of the Max Planck Institute of Animal Behavior.

Remote work is possible after an initial on‑site phase. Field trips are not planned in the frame of the position but can be discussed. Aside from offering promising planned projects, the vast existing datasets offer opportunities to implement and develop the candidate’s own research ideas according to their existing expertise and future research goals.

Job requirements

We are looking for a candidate with a PhD in Natural Sciences, ideally Biology, Ecology, Primatology, or a related field. Our team is highly collaborative and aims to create a friendly and jointly productive research environment. We are looking for a team player and an enthusiastic scientist. Applicants should bring:

  • Proficiency in R, including the ability to understand, execute, and extend existing scripts, as well as develop new ones; and to analyze and visualize data
  • Experience with relational databases (proficiency in SQL and with MS Access is an advantage)
  • Experience in handling and processing large datasets, including analytical skills (Frequentist and Bayesian statistical frameworks)
  • Experience in collecting and/or analyzing observational data on animal behavior, including ‘focal and party follow’ studies, as well as ‘ad libitum’ data.
  • Experience in collecting and/or analyzing survey data (CT, PAM, Telemetry)
  • Experience in remote sensing
  • Organization…
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