[robotics-worldwide] PhD and Post-Doctoral Positions at the AASS Learning Systems Lab, Örebro, Sweden

Achim J. Lilienthal lillein46 at web.de
Fri Jun 5 13:30:43 PDT 2009


[Apologies for the scrambled content of the same call in a previous version]

Three PhD positions and two post-doctoral positions are available at the
AASS Learning Systems Lab, Örebro University, Sweden
(http://www.aass.oru.se/Research/Learning/index.html)

Applications can be sent immediately and will be considered until the
positions are fixed.


******************************************************************************
* PhD Position 1: Motion Learning of Human Manipulation Skills
******************************************************************************
Full call: 
http://aass.oru.se/Research/Learning/announcements/PhD_Position_HANDLE_2009.pdf

This position is fully funded within the EU project HANDLE 
(http://www.handle-project.eu).

Contact Person: Dr. Boyko Iliev
   email: boyko.iliev at oru.se,
   Web:   http://www.aass.oru.se/Research/Learning/biv.html)


******************************************************************************
* PhD Position 2: Pollution Monitoring with Stationary and Mobile Gas Sensors
******************************************************************************
Full call:
http://aass.oru.se/Research/Learning/announcements/PhD_Position-DIADEM_2009.pdf

This position is fully funded within the EU project Diadem 
(http://www.ist-diadem.eu/).

Contact Person: Achim J. Lilienthal
   email: achim.lilienthal at oru.se
   Web:   http://www.aass.oru.se/Research/Learning/amll.html


******************************************************************************
* PhD Position 3: Active Safety for Autonomous Transportation in Unstructured 
*                 Environments
******************************************************************************
Full call:
http://aass.oru.se/Research/Learning/announcements/PhD_Position-ALL4eHAM.pdf

This position is fully funded within a new KKS project ALL-4-eHAM.

Contact Person: Achim J. Lilienthal
   email: achim.lilienthal at oru.se
   Web:   http://www.aass.oru.se/Research/Learning/amll.html


******************************************************************************
* Post-doctoral Position 1: Developing Human-Equivalent Manipulation Skills
*                           on a 5-Finger Dexterous Robot Hand
******************************************************************************
Full call: 
http://aass.oru.se/Research/Learning/announcements/Postdoc_Position-HANDLE.pdf

This position is fully funded within the EU project HANDLE 
(http://www.handle-project.eu).

Contact Person: Dr. Boyko Iliev
   email: boyko.iliev at oru.se,
   Web:   http://www.aass.oru.se/Research/Learning/biv.html)


******************************************************************************
* Post-doctoral Position 2: Pollution Monitoring with Mobile Gas Sensors
******************************************************************************
Full call:
http://aass.oru.se/Research/Learning/announcements/Postdoc_Position-DHRS_CIM.pdf

This position is fully funded within a new KKS project ALL-4-eHAM.

Contact Person: Achim J. Lilienthal
   email: achim.lilienthal at oru.se
   Web:   http://www.aass.oru.se/Research/Learning/amll.html


We are looking forward to *your* application!


The AASS Learning Systems Lab

The Centre for Applied Autonomous Sensor Systems (AASS Research Centre, 
http://aass.oru.se) carries out multi-disciplinary research at the
intersection of robotics, machine learning, artificial intelligence,
computer vision, computer science, and measurement technology. The
research and human environment at AASS is young and enthusiastic.
Researchers come from different countries and have different scientific
and cultural backgrounds. AASS also frequently hosts international
researchers and is involved in several international projects.

The Learning Systems Lab is one of three research groups within AASS.
Our research has its focus generally on the development of algorithms
and robotic/sensor systems for real-world tasks. Major directions are
Mobile Robot Olfaction, Robotic Map Learning, Robot Vision, Autonomous
Transportation Systems, Programming-by-Demonstration and Tactile
Exploration. Further information can be found at
http://www.aass.oru.se/Research/Learning. Currently, the Learning
Systems Lab has a staff of 9 PhD students, 5 post-docs, 3 part-time
professors and one associate professor.



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