[robotics-worldwide] [jobs] PhD scholarship within robotic grasping and manipulation

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[robotics-worldwide] [jobs] PhD scholarship within robotic grasping and manipulation

Pål Johan From
PhD scholarship within robotic grasping and manipulation

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD-position related to


The PhD scholarship is part of the project "Robotised cells to obtain efficient meat production for the Norwegian meat industry (MeaTable)", funded by the Research Council of Norway, with duration: 1 April 2018 - 31 March 2021.

The fellowship is closely related to the main activities of the robotics group at NMBU. The MeaTable project looks at how robotics technology can be used to assist human operators in slaughter houses. The project will specifically look at how humans and robots (cobots) can work together and grasping techniques for robot manipulators. The candidate will work closely with experts on machine vision and machine learning, and will implement advanced trajectory tracking and grasping strategies based on 3D-point cloud vision. The detection and grasping strategies will be refined using state of the art machine learning techniques.

The faculty has a robotic setup with several different robots that will be made available to the candidate.

Main tasks
·       Implementation of real-time systems.
·       Trajectory planning and control of robotic manipulators, especially manipulators that work in collaboration with humans.
·       Grasping and manipulation.
·       Grasp planning and grasp refinement using machine learning.
·       Visual servoing for robust grasping.

Required Academic qualifications
·       A relevant Master degree in Robotics, Control, Computer Science or Engineering Cybernetics with an average grade B or better as measured in ECTS (European Credit Transfer System) grades.
·       Proficiency in robotics and control.
·       Proficiency in mathematical modeling, statistical methods.
·       Hands-on experience from implementing algorithms on real systems.
·       Excellent programming skills

Desired Academic qualifications
·       Experience with ROS and python/C++
·       Machine learning, artificial intelligence.
·       Construction of robots, hands-on experience in building robotic systems.
·       Experience with cobots, HMI, etc


The position is placed in government pay scale position code 1017 PhD. Fellow, wage framework 20 (salary grade 36-62). PhD. Fellows are normally placed in pay grade 51 (NOK 443 900) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations.

For more information and to apply for the position, see

Pål Johan From, Ph.D.
Head of Robotics and Control Group
Faculty of Sciences and Technology
Norwegian University of Life Science
Postbox 5003
1432 Ås

Room: TF 316
tel: +47 67231603
cel: +47 90690932
e-mail: [hidden email]<mailto:[hidden email]>

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