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8 months ago
Doctoral Research Position (m/f/d) available at the Max Planck Institute for Intelligent Systems within the Perceiving Systems Department. The new generation of tools will be created, using machine learning that will automate and revolutionize the analysis of animal behavior.
About the Project:
- The goal is to create 3D models of animal shape that are anatomically correct and to use such models to track and analyze animal behavior.
- The project combines methods from machine learning, computer vision, and graphics to learn animal models from unique datasets containing volumetric scans, multi-view imagery, and videos.
- The challenges include:
- Registering multimodal data: volumes, meshes, point-clouds, images and videos.
- Learning shape models that can capture shape and motion variation across animals that can be related to individual attributes such as age.
- Representing the relation between internal structures such as the skeleton and organs and the external body surface.
- Performing articulated tracking of animals in complex, natural, scenarios.
- Scientific Context
- The student will be part of the Perceiving Systems Department, which is a world leader on the statistical modeling of humans and animals from data, in the fields of computer vision, computer graphics and machine learning, with publications in major venues such as CVPR, ICCV, ECCV and SIGGRAPH.
Requirements:
- Candidates must have a deep interest in Computer Vision, Computer Graphics and Machine Learning.
- Candidate will have a strong Master’s degree in computer science or another area related to Computer Vision, Computer Graphics and Machine Learning
- excellent written and oral communication skills (English)
- excellent software skills
- Preliminary experience in related topics such as 3D meshes and point-cloud processing, neural networks, classical optimization, etc.
Applications:
Apply online
—————–Quick Overview————- | |
Organization | Max Planck Institute for Intelligent Systems |
Country | Germany |
Fellowship Level | Doctoral |
Subject areas | Computer Vision, Computer Graphics and Machine Learning, Computer Science |
Fellowship amount | Varies |
Eligibility | Open to all nationalities |
Deadline | November 6th, 2019 |
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