Intelligent systems that perform complex tasks in everyday environments require the ability to perceive their environment and the objects with which they interact. Besides tactile or proprioceptive sensing, vision is an important sensing modality for such systems that provides rich sensory information. The Embodied Vision group (https://ev.is.mpg.de) at the Max Planck Institute for Intelligent Systems (MPI-IS) in Tübingen investigates novel approaches to vision-based perception and learning for intelligent systems that are closely coupled with control and planning. Ideally, perception and control should not be investigated in isolation but in a coherent way to support robustness, flexibility, adaptation and learning for the complete system.
In this research context, we are looking for talented students who are pursuing a Master of Science degree in computer science, electrical or control engineering, applied mathematics or physics to support our research as student assistants (HiWi) or interns. Possible tasks could include, for example:
- Hard- and software setup and integration of multicopters or robot manipulators
- Development of physical simulation environment and testbed for robotic learning experiments
- Conducting research experiments with simulated and real robots
- Implementation and evaluation of state-of-the-art computer vision methods
- Software engineering and automated test design for computer vision methods
The position will allow the student to gain hands-on experience with computer vision methods and intelligent systems, as well as be exposed to ongoing research. The concrete position and tasks are subject to discussion with interested candidates. Earliest start date is July 2018.
Embodied Vision Group
The project will be carried out at the Max Planck Institute for Intelligent Systems (MPI-IS) located in Tübingen within the Embodied Vision Group headed by Dr. Joerg Stueckler. The group investigates fundamentals of embodied intelligent agents such as robots that learn to perceive and act within their environment. Further information on the group can be found at https://ev.is.mpg.de
High motivation, excellent skills in computer science, a solid background in mathematics and computer vision, and hands-on experience in deep learning are prerequisites. Furthermore, good programming skills in C/C++, Python and TensorFlow are required. Previous research experience in computer vision, deep learning or robotics is a plus.
How to apply
Applications should be sent in a single pdf (max. 10MB) per email and include a CV, a short motivation letter (why are you interested in this position/research?), current transcripts of BSc/MSc studies, earliest date of availability, and optionally other documentation helpful to evaluate your background.
Contact Details: Dr. Joerg Stueckler | email@example.com MPI for Intelligent Systems, Max-Planck-Ring 4, 72076 Tübingen, Germany. +49 (0) 7071-601 385 | http://is.mpg.de/person/jstueckler