The students will be affiliated with the Computer Vision and Active Perception Lab (CVAP) and the Centre for Autonomous Systems (CAS) at CSC. The scope of the three positions is development of methods for image and video analysis in Robotics applications. Position 1 concerns vision based control of robotic manipulators, Position 2 addresses the problem of vision based articulated reconstruction of human hands, while the topic of Position 3 is vision based analysis of human manipulation actions.
These are four-year, time-limited positions and normally include 20% departmental duties, usually teaching. Research students must be registered at KTH. The starting dates are open for discussion, though ideally we would like the successful candidate to start as soon as possible.
Employment
Number of positions: 3
Number of positions: 3
Qualifications
Suitable backgrounds for the positions are
•Position 1: a Master of Science in Computer Science or Electrical Engineering with a specialization in Robotics or the equivalent. Degree project about vision based robot control is regarded as highly advantageous.
•Position 2: a Master of Science in Computer Science or Electrical Engineering with a specialization in Artificial Intelligence or the equivalent. Degree project about dimensionality reduction methods is regarded as highly advantageous.
•Position 3: a Master of Science in Computer Science or Electrical Engineering with a specialization in Machine Learning or the equivalent. Degree project about graphical models and Bayesian networks is regarded as highly advantageous.
For all three positions, peer-reviewed publications and patents in areas related to the subjects are also valued highly in the ranking of candidates.
•Position 2: a Master of Science in Computer Science or Electrical Engineering with a specialization in Artificial Intelligence or the equivalent. Degree project about dimensionality reduction methods is regarded as highly advantageous.
•Position 3: a Master of Science in Computer Science or Electrical Engineering with a specialization in Machine Learning or the equivalent. Degree project about graphical models and Bayesian networks is regarded as highly advantageous.
For all three positions, peer-reviewed publications and patents in areas related to the subjects are also valued highly in the ranking of candidates.
Applicants must be strongly motivated for doctoral studies, possess the ability to work independently and perform critical analysis as well as possessing good levels of cooperative and communicative abilities.
Contact: Applications via email are to be sent to Susanne Bergman:susanneb@csc.kth.se
Write reference number in the email subject. (CV, etc should be sent as an attachment, preferably pdf-files.)
Write reference number in the email subject. (CV, etc should be sent as an attachment, preferably pdf-files.)
For enquiries about PhD studies and employment conditions please contact:
Eva-Lena Åkerman, HR Manager
Phone: +46 8 790 91 06
Eva-Lena Åkerman, HR Manager
Phone: +46 8 790 91 06
ela@csc.kth.se
For enquiries about the project please contact:
Hedvig Kjellström, Associate Professor
Phone: +46 8 790 69 06
For enquiries about the project please contact:
Hedvig Kjellström, Associate Professor
Phone: +46 8 790 69 06
lars.abrahamsson@ee.kth.se
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Last changed: Nov 08, 2010
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