The Embodied Vision Group at the Max Planck Institute for Intelligent
Systems investigates novel methods for autonomous systems to learn
dynamic scene understanding and to use this understanding to perform
complex tasks such as navigation or object manipulation. We aim at
systems that learn from raw sensor measurements like images or tactile
information and through action within their environment. A research
focus in this context is on computer vision topics, including
* Physical and 3D dynamic scene understanding
* Learning of predictive environment models
* Self-supervised and online visual and multi-modal learning
* Vision-based interactive perception and learning for object
* Vision-based navigation for drones and mobile robots
* Deep reinforcement learning
We are looking for two PhD students who are holding an outstanding
Master’s degree in the computer or natural sciences, electrical or
control engineering or applied mathematics. The PhD students will
conduct research in one or several of the above topic areas.
* Candidates should have studied areas related to computer vision and
machine learning.Areas of particular interest for us at the moment
are deep learning, visual scene understanding,
visual/visual-inertial simultaneous localization and mapping, 3D
scene reconstruction, robot vision, robot learning and deep
* Successful candidates will typically have ranked at or near the top
of their classes and be highly proficient in written and spoken
* Excellent computer science skills as well as a strong mathematical
background are required.
* Prior research experience in computer vision, deep learning, robotic
object manipulation or autonomous navigation is a plus.
The PhD students will receive a PhD funding contract with an initial
duration of 3 years. The position is funded for 3-4 years. Salary will
be based on previous experience according to guidelines of the German
Collective Wage Agreement for the Public Service (TVöD). The earliest
start date is August 1st, 2018.
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
seeks to increase the number of women in those areas where they are
underrepresented and therefore explicitly encourages women to apply.
Applications and inquiries should be sent quoting reference number 33.18
to Dr. Joerg Stueckler (see contact details below). Applications must be
submitted by email as a single pdf (max. 10 MB) and include a CV,
motivation letter with research statement, publication list, transcripts
of BSc and MSc degrees, and contact details of 2-3 references.
Optionally, up to 2 selected own publications or theses can be included
in a second pdf (max. 5 MB). Applications should also indicate earliest
date of availability.
There is no fixed application deadline; applications are considered
until the positions have been filled or are no longer needed. Preference
will be given to applications received before July 15th, 2018.