PhD position on Geometric methods for robot learning @ Bosch center for AI

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Leonel Rozo

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Feb 4, 2020, 7:45:55 AM2/4/20
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Dear colleagues,

We currently have an open PhD position to work on geometric methods for data-efficient robot learning for robotic manipulation.

What is this about?
This PhD topic is about investigating and creating new learning methods built on geometric approaches (such as those based on Riemannian manifolds theory) for achieving data-efficient learning and robust adaptation of robot manipulation skills.

Who are involved?
The PhD research will be mainly carried out at the Bosch center for AI located in Renningen (Germany). You will be co-supervised by Søren Hauberg (DTU), Gerhard Neumann (BCAI-KIT) and myself (BCAI), and you will have the chance to visit their labs as part of your studies. Moreover, you will interact with top-notch PhD students and research scientists in our group working on robot control, task planning, robot vision, deep learning, among other exciting areas.

Who are we looking for?
A super motivated and curious student who loves math, machine learning and robots! We also value programming experience on C++, Matlab or Python. An MSc degree on computer science, robotics, artificial intelligence or applied math is a good fit.

More info about the PhD position and the application process can be found at https://jobs.smartrecruiters.com/BoschGroup/743999699722876-phd-geometric-approaches-for-data-efficient-robot-learning

For questions, please contact me.

Leonel Rozo
Research scientist @ BCAI
www.leonelrozo.weebly.com
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