Postdoctoral Researcher - Ape Locomotion and Substrate Dynamics
Postdoctoral Researcher - Ape Locomotion and Substrate Dynamics
Max Planck Institute for Evolutionary Anthropology
Leipzig, Germany
We aim to reconstruct the key behaviours that define humans by integrating high-resolution imaging, quantitative analyses of anatomy, experimental biomechanics and study of living primates (including humans).
We are seeking for the Department of Human Origins a Postdoctoral Researcher (m/f/d) for ape locomotion and substrate dynamics.
The Biomechanics working group within the Department of Human Origins at MPI-EVA is at the forefront of using experimental biomechanics to explore how the physical environment has influenced the performance, behaviour, and evolution of early hominins, employing extant hominoids as a model.
Position overview
We are inviting applications from qualified and highly motivated individuals for the position of Postdoctoral Researcher. The successful candidate will undertake innovative projects focused on the development of methodologies for analysing locomotion in free-moving apes. This role offers an unparalleled opportunity to advance experimental biomechanics by leveraging the latest in computer vision, machine learning, and open electronics, aiming to unravel the effects of mechanically complex substrates on ape kinematics and kinetics. The position is available from August 2024 or soon as possible thereafter.
Key Responsibilities
- Designing and conducting experiments;
- Developing new measurement tools for biomechanical analysis;
- Analyzing complex biomechanical data;
- Pursuing independent research questions within the project's framework.
This role will primarily involve work with zoo-based apes, with potential opportunities to apply validated techniques to semi-wild and wild populations.
Desired and Required Skills
- Ph.D. in Biomechanics, Zoology, Biological Anthropology, or a related field;
- M.Sc. and B.Sc. in a research-relevant discipline;
- Strong passion for, and experience in, experimental biomechanics;
- Proficiency in Python coding; familiarity with markerless motion capture systems is a significant advantage.
Additional Qualifications
- Excellent communication and teamwork skills, with an ability to collaborate effectively on interdisciplinary projects;
- A creative and innovative approach to problem-solving.
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