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Two PhD Student Positions in Computer Vision for Learnings Systems <br>
within the Embodied Vision Group at the Max Planck Institute for
Intelligent Systems in Tuebingen, Germany <br>
<a class="moz-txt-link-freetext"
href="https://ev.is.mpg.de/jobs/2-phd-student-positions-in-computer-vision-for-learning-systems">https://ev.is.mpg.de/jobs/2-phd-student-positions-in-computer-vision-for-learning-systems</a>
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<br>
<b class="moz-txt-star"><span class="moz-txt-tag">*</span>Research
questions<span class="moz-txt-tag">*</span></b> <br>
<br>
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 <br>
<br>
* Physical and 3D dynamic scene understanding <br>
* Learning of predictive environment models <br>
* Self-supervised and online visual and multi-modal learning <br>
* Vision-based interactive perception and learning for object
manipulation <br>
* Vision-based navigation for drones and mobile robots <br>
* Deep reinforcement learning <br>
<br>
<br>
<b class="moz-txt-star"><span class="moz-txt-tag">*</span>The
positions<span class="moz-txt-tag">*</span></b> <br>
<br>
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. <br>
<br>
* Candidates should have studied areas related to computer vision
and <br>
machine learning.Areas of particular interest for us at the
moment <br>
are deep learning, visual scene understanding, <br>
visual/visual-inertial simultaneous localization and mapping, 3D
<br>
scene reconstruction, robot vision, robot learning and deep <br>
reinforcement learning. <br>
* Successful candidates will typically have ranked at or near the
top <br>
of their classes and be highly proficient in written and spoken <br>
English. <br>
* Excellent computer science skills as well as a strong
mathematical <br>
background are required. <br>
* Prior research experience in computer vision, deep learning,
robotic <br>
object manipulation or autonomous navigation is a plus. <br>
<br>
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. <br>
<br>
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. <br>
<br>
<br>
<b class="moz-txt-star"><span class="moz-txt-tag">*</span>The group<span
class="moz-txt-tag">*</span></b> <br>
<br>
The Embodied Vision Group (<a class="moz-txt-link-freetext"
href="https://ev.is.mpg.de">https://ev.is.mpg.de</a>) is a newly
established research group at the Max Planck Institute for
Intelligent Systems in Tuebingen, Germany, and is lead by Dr. Joerg
Stueckler. The institute is a world-class center for foundational
research in machine learning, computer vision, robotics and material
science. Tübingen is a scenic medieval university town, cradled in
what is simultaneously one of Germany’s most beautiful landscapes in
one of Europe’s most economically successful areas. The working
language at the institute is English. <br>
<br>
<br>
<b class="moz-txt-star"><span class="moz-txt-tag">*</span>How to
apply<span class="moz-txt-tag">*</span></b> <br>
<br>
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. <br>
<br>
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. <br>
<br>
<br>
For further details on the positions and how to apply, please visit
<br>
<a class="moz-txt-link-freetext"
href="https://ev.is.mpg.de/jobs/2-phd-student-positions-in-computer-vision-for-learning-systems">https://ev.is.mpg.de/jobs/2-phd-student-positions-in-computer-vision-for-learning-systems</a>
<br>
<br>
<br>
Please liberally forward this announcement and share to possibly
interested candidates or persons who might know suitable candidates.
<br>
<br>
Best regards, <br>
Joerg Stueckler <br>
<br>
<span class="moz-txt-tag">-- <br>
</span>Dr. Joerg Stueckler <br>
Max Planck Research Group Leader <br>
<br>
Embodied Vision Group <br>
Max-Planck-Institute for Intelligent Systems <br>
<br>
Max-Planck-Ring 4 <br>
72076 Tübingen <br>
<br>
Tel. +49 (0)7071 601-385 <br>
Email: <a class="moz-txt-link-abbreviated"
href="mailto:Email:joerg.stueckler@tue.mpg.de">joerg.stueckler@tue.mpg.de</a>
<br>
<a class="moz-txt-link-freetext" href="http://ev.is.mpg.de">http://ev.is.mpg.de</a>
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