[robotics-worldwide] [jobs] PhD Positions for Robot Learning

Wolfram Burgard burgard at informatik.uni-freiburg.de
Thu Dec 12 21:11:52 PST 2019

The Autonomous Intelligent Systems Laboratory, directed by Prof. Wolfram Burgard and the Robot Learning Laboratory, directed by Prof. Abhinav Valada, of the University of Freiburg in Germany has open joint full-time PhD positions (collective agreement TV-L E13) for researchers to work on the intersection of robotics and machine (deep) learning. Both these labs are a part of the newly established ELLIS unit in the University of Freiburg which is one of the first four ELLIS units in Germany and one of the 17 ELLIS units across ten European countries and Israel. Outstanding experts in the research fields of Simultaneous Localization and Mapping (SLAM), long term navigation, autonomous driving, deep learning, computer vision, object detection and tracking, motion planning, mobile manipulation, aerial robotics, brain machine interfaces and many more work in our labs.

The job offers a novel perspective to relevant problems in robot perception, state estimation, manipulation, and navigation in order to enable robots to reliably operate in more complex domains and real-world environments. The candidates are expected to conduct independent research and at the same time contribute to the ongoing projects, and guide master and bachelor students.

ABOUT THE CANDIDATE: The candidate should hold a Master of Science degree in robotics, machine learning, computer science, applied mathematics or a related field. The candidate should have a strong mathematical background and programming skills including in deep learning frameworks such as pyTorch or TensorFlow. Prior research experience in one or more of the following areas: deep learning methods for robot vision, navigation and control, deep learning for SLAM, self-supervised and unsupervised learning, imitation and reinforcement learning, multimodal learning, and autonomous navigation. We furthermore expect outstanding qualifications, the motivation to obtain a Doctoral degree and the interest to work in an interdisciplinary environment. Finally, we require applicants to have excellent communication skills in English. International candidates are encouraged to apply, knowledge of the German language is not required.
ABOUT FREIBURG: Wikipedia says about Freiburg: "...The city is known for its ancient university and its medieval munster, as well as for its high standard of living and advanced environmental practices. The city is situated in the heart of a major wine-growing region and serves as the primary tourist entry point to the scenic beauty of the Black Forest. According to meteorological statistics, the city is the sunniest and warmest in Germany..."

The application documents should consist of a single PDF file and include:
- Motivation letter (Expose, respectively)
- Email addresses of at least two professors or persons authorized to supervise dissertation projects that can provide a reference
- Curriculum vitae. Please indic­ate your rel­ev­ant skills, sci­entific pub­lic­a­tions,
awards, research videos and/or code, pro­fes­sional pro­file(s)
- Bach­elor’s and Mas­ter's degrees and unofficial tran­scripts. Spe­cify your GPA
- Any documents providing evidence of academic achievements, relevant practical experience, and qualifications earned at or outside of the university

Applications should be sent via email to rl-apply at cs.uni-freiburg.de. Applications will be considered until the positions have been filled. Preference will be given to applications received before January 15, 2020, 23:59 CET.

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