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PhD Positions at AASS Learning Systems Lab of Örebro University, Sweden

Published on Mar 17 2011 // PhD, Scholarships in Sweden, Western Europe


PhD Positions at AASS Learning Systems Lab of Örebro University, Sweden

We are looking for three PhD candidates at the AASS Learning Systems Lab of Örebro University, Sweden. The respective positions will address the following topics:

  1. Active 3D Perception for a Robot Unloading Containers
  2. Hybrid Automatic Planning for a Robot Unloading Containers
  3. Safe and Flexible Navigation for Long-Term Operation of Professional Service Robots in Dynamic Environments

(1) Active 3D Perception for a Robot Unloading Containers

Research in this project can include fusion of visual and 3D range information (RGB-D sensing), feature-based object detection, concepts for active sensing, modelling shape deformations, and integration into a compact, semantic 3D world model. State-of-the-art range sensors are available for the work, including novel TOF cameras and, of course, the Kinect sensor.

Full call at:

  • http://aass.oru.se/Research/Learning/announcements/PhD_Position-Roblog_3D.pdf

(2) Hybrid Automatic Planning for a Robot Unloading Containers

The aim of this PhD project will be on fast generation of safe and reliable sequences of actions to unload objects of different types, shapes, and weights from a container using a specialized robotic arm. Specific research questions may include exploration of suitable representations for symbolic and sub-symbolic constraints in a unified framework, fast planning of trajectories based on the hybrid representation, and reasoning about uncertainty in the perceptual knowledge about the objects to manipulate.

Full call at :

  • http://aass.oru.se/Research/Learning/announcements/PhD_Position-Roblog_HP.pdf

(3) Safe and Flexible Navigation for Long-Term Operation of Professional Service Robots in Dynamic Environments

Research in this project can address new self-localization methods for robust long-term operation of autonomous vehicles in dynamic environments; methods for smooth, collision-free navigation at high speeds in the presence of static and moving objects; detection and tracking humans; efficient path planning using traffic rule information; and execution monitoring under consideration of traffic rules.

Full call at :

  • http://aass.oru.se/Research/Learning/announcements/PhD_Position-SAVIE.pdf

In addition to interest in the topic, a strong theoretical background and solid programming skills, applicants should have the equivalent of a Masters degree in an appropriate field (including Computer Science, Robotics, Electrical Engineering, Physics and Applied Mathematics, for example). Proficiency in written/spoken English is mandatory.

Detailed information can be found at

  • http://aass.oru.se/Research/Learning/positions.html

Application deadline is April 15, 2011



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