Doctoral research position (PhD) in the Perceiving Systems Department of the Max Planck Institute for Intelligent Systems (https://ps.is.tuebingen.mpg.de/).
Position: Doctoral research position (PhD) in the Perceiving Systems Department of the Max Planck Institute for Intelligent Systems (https://ps.is.tuebingen.mpg.de/).
Background: In fields such as animal conservation, ethology, and neuroscience, the tracking and understanding of animals and their behavior is key. Today, this is often done manually. We are creating a new generation of tools, using machine learning, that will automate and revolutionize the analysis of animal behavior.
Project:Our 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 ofthe 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. For related work please visit https://ps.is.tue.mpg.de/research_projects/capturing-animal-shape.
The student will collaborate closely with Sergi Pujades (University Grenoble Alpes – INRIA Grenoble, France), Silvia Zuffi (IMATI-CNR in Milano, Italy) and be locally advised by Michael Black. A surrounding team of approx. 10 PhDs, 6 senior researches and 4 engineers will be available for interactions, discussions, and possible collaboration.
Candidate: We seek candidates with a deep interest in Computer Vision, Computer Graphics and Machine Learning. The successful 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 pointcloud processing, neural networks, classical optimization, etc.
Location and mobility:The PhD research will be centered in Tübingen (Germany) with possible visits to Grenoble (France) and Milano (Italy).
Application:Please direct your applications to firstname.lastname@example.org and mention ANISHAPE in the subject line. The position is open until filled but preference will be given to applications received by September 1, 2020. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender equality and diversity. Furthermore, the Max Planck Society seeks to increase the number of women in its workforce in those areas where they are underrepresented and therefore explicitly encourages women to apply.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems