| ******************************************************************** ** 3 PhD Positions available at AASS, 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 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. ---------------------------------------------------------------------- About the working place: ---------------------------------------------------------------------- Örebro University (www.oru.se) currently enrolls about 18,000 students. It is located in Örebro, a city of 130,000 inhabitants situated in central Sweden (www.orebro.se). The Center for Applied Autonomous Sensor Systems at Orebro University (AASS) 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 a dozen different countries and have different scientific and cultural backgrounds. AASS also frequently hosts international researchers and is involved in several international projects. This means that enrolled PhD students will have the opportunity to travel and to cooperate with people in other countries. The AASS Learning Systems Lab (www.aass.oru.se/Research/Learning) is a research group within AASS. Our research is generally focussed on the development of algorithms and robotic/sensor systems for real-world tasks. Major directions are Professional Service Robots for Autonomous Transportation, 3D Vision, Mobile Robot Olfaction, and Tactile Exploration. Further information can be found at http://aass.oru.se/Research/Learning/. Currently, the Learning Systems Lab has a staff of 8 PhD students, 9 post-docs and one associate professor. ---------------------------------------------------------------------- -- Achim J. Lilienthal Head of AASS Learning Systems Lab School of Science and Technology, Örebro University, 70182 Örebro, Sweden Email: achim.lilienthal@oru.se Tel: +46 19 30 3602 Fax: +46 19 30 3463 WWW: www.aass.oru.se/Research/Learning/amll.html -- |
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