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PostDoc Position 

The Autonomous Systems Lab (ASL) at ETH Zurich is looking to hire an outstanding Postdoctoral Researcher for working in the areas

  • Aerial Robotics with a focus on our Fixed-Wing and Multi-Rotor Platforms

  • Robotic Motion Planning and Control, as well as Learning for Control

  • Machine Learning for Robotics (especially Reinforcement Learning)

Requirements

  • A PhD (or close to completion) in Robotics, Machine Learning, Control, or a related subject

  • Strong background in planning and control for robotics and / or strong background in machine learning.

  • Publications at relevant conferences (you are required to have published in at least two of the following venues RSS, ICRA, CDC, ICML, NIPS, AISTATS, CVPR, ICLR) and journals (you are required to have an article accepted in at least one of the following TRO, TAC, TCST, IJRR, JMLR, MLJ, Neural Computation, PAMI)

  • Desire to integrate technology and research into fully-operational robots

  • Willingness (and ideally experience) to work and operate state-of-the-art fixed-wing aerial robotic platforms in challenging outdoor environments and missions.

What we offer

  • Working with one of the largest robotics research labs in the world in a top-ten university.

  • Strong ties to major industrial partners (including Google, Intel, Volkswagen, Bosch), e.g. through ongoing collaborations in European or bilateral research projects.

  • A highly competitive salary.

  • Involvement in supervision of PhD students, and shaping your own direction of research.

Applications should involve your CV, all grade transcripts (Bachelor, Master, and, if applicable, PhD), and the names and contact details of 2-3 references. They can be sent as a single pdf document to Juan Nieto () and Igor Gilitschenski () with subject “Postdoc application 2017”. The starting date is flexible. Applications will be evaluated on a rolling basis until the position is filled.

Job offers (external)

 
 
Page URL: http://www.asl.ethz.ch/the-lab/open-positions.html
24.06.2017
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