[robotics-worldwide] PhD Position at the AASS Mobile Robots & Olfaction Lab

Martin Magnusson martin.magnusson at oru.se
Mon Mar 12 15:59:16 PDT 2012


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**                        Ph.D. Position                              **
**          "Long-Term 3D Map Learning and Quality Measures"          **
** AASS Mobile Robotics and Olfaction Lab, Örebro University - Sweden **
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In Short
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One fully funded Ph.D. student position (3 years) is immediately
available at the AASS Mobile Robotics and Olfaction Lab, University of
Örebro, Sweden.
Web site: http://www.aass.oru.se/Research/mro/
Contact: Achim J. Lilienthal (achim.lilienthal at oru.se).

The position focuses on life-long 3D map learning, including
quantitative measurements of both map quality and the performance of
the robot's tasks. Research work will involve a combination of theory
development and empirical experiments.

Detailed information can be found at
http://aass.oru.se/Research/mro/announcements/PhD_Position-ALLO.pdf
http://aass.oru.se/Research/mro/positions.html
http://aass.oru.se/Research/mro/allo/


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In Detail
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ABOUT THE WORKING PLACE:

The Ph.D. student will join the AASS Mobile Robot and Olfaction lab
(see http://aass.oru.se/Research/mro/), one of the two research groups
at the AASS (Applied Autonomous Sensor Systems) research unit
(http://www.oru.se/aass). The research and human environment at AASS
is young and enthusiastic, and Ph.D. students come from different
countries and have different scientific and cultural backgrounds
(currently there are 26 Ph.D. students from 13 different
countries). AASS often hosts international researchers, and is
involved in several international projects, thus providing
Ph.D. students with opportunities to travel and cooperate with people
in other countries.


ABOUT THE RESEARCH PROJECT:

The position is funded mainly by the ALLO project: "Autonomous
Long-Term Load-Haul-Dump Operations". This project is a joint effort
together with Volvo Construction Equipment and NCC Construction, and
will contribute to AASS' strong position in 3D perception and
field-robotics research. The overall goal of the project is to enable
industrial wheel loaders working autonomously for several days, at a
real-world work site --- which means that the system must be able to
handle the dynamic nature of a site that is being changed by other
actors.

In particular, the following list outlines some important research
topics that will be handled in the project.
 * Dynamic 3D map maintenance
 * Map quality assurance
 * Dynamic planning and scheduling
 * Quantitative evaluation of pile handling

In our present collaborative project (the ALL-4-eHAM project) we have
developed the essential building blocks of such a system: scanning 3D
perception under vehicle motion, object detection, navigation and path
planning, and detection and shape analysis of gravel piles for efficient
handling.

The primary focus of the ALLO project will be the problems that an
autonomous system faces during long-term operation. Other parts of the
project deal with improving the performance of the tasks from ALL-4-eHAM
and developing quantifiable and certifiable quality-evaluation criteria.
The focus on long-term operation puts further weight on the need to
develop consistent algorithms that produce correct results.


PREREQUISITES AND APPLICATION PROCESS:

In addition to a strong interest in the topic, a solid theoretical
background and excellent programming skills (the current code base is
mainly written in C++), applicants should also have the equivalent of
a Master's degree in a relevant field (e.g., physics, applied
mathematics, robotics, computer science, etc). We particularly seek
candidates with good knowledge of mathematical statistics and
numerical optimisation. Experience in robotics (for example, ROS or
the Player/Stage project) is a plus. Proficiency in written/spoken
English is mandatory, but knowledge of Swedish is not required.

To apply for a position, please send the following material by e-mail to
Dr. Martin Magnusson <martin.magnusson at oru.se>:

1) a motivation letter,
2) an updated CV,
3) academic references,
4) a transcipt of your BSc and MSc courses,
5) an electronic copy of your MSc thesis,
6) an electronic copy of any publications you might have.

Applications can be sent immediately and will be considered until the
position is fixed.

We are looking forward to receiving your application!





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