European Laboratory for Learning and Intelligent Systems

The mission of the ELLIS unit Freiburg is to act as one of the best places in Europe to work in the field of ​robot learning and to foster European collaborations in the intersection of robotics, computer vision and machine learning. The unit has a unique set of outstanding robotics researchers, accompanied by ELLIS fellows in the areas of computer vision and machine learning, and close connections to the industry (Toyota, Amazon, and Bosch). The unit will facilitate collaborations on the intersection of these fields within the ELLIS network, building on highly successful interactions between the respective groups within Freiburg itself. With the recent convergence of much of computer vision, robotics and machine learning under the common theme of deep learning, there are great opportunities for exploiting synergies between these fields.

Principal Investigators

Joschka Boedecker
Unit Member
Thomas Brox
Unit Member
Wolfram Burgard
Unit Director
Frank Hutter
Unit Member
Abhinav Valada
Unit Member
 

Activities within ELLIS@Freiburg

New partnership between CMU and Uni Freiburg

In the coming years, ELLIS@Freiburg will deepen the partnership with the Robotics Institute of Carnegie Mellon University (CMU), one of the top universities for robotics research in the world. We are establishing an exchange program in which students from the 4th semester of bachelors in computer science will be eligible to participate. Our goal is to involve bachelor's students in research at an early stage, where they will have the opportunity to work with leading experts for a period of three month in CMU.

Please find more details about the Robotics Institute's Summer Scholars (RISS) program in the flyer for download. The RISS team at CMU has been organizing the exchange with other universities and several countries very successfully since 2006!

Are you interested in such a research stay? Contact us with a short letter of motivation and we will guide you through the application process. Applications should be submitted to both DAAD and RISS.

Please include the following in your letter of motivation:

  • Name
  • Semester
  • Confirmation of your availability for a research stay in USA from June 6 to August 31, 2021 (depending on the covid-19 situation in person or online)
  • Motivation for participating in the RISS program
  • Which research field are you interested and why? (Please select at most two)
    -Simultaneous Localization and Mapping
    -State Estimation
    -Aerial Robotics
    -Motion Planning
    -Computer Vision
    -Robot Perception
    -Autonomous Driving
    -Robot Learning for Manipulation
    -Learning from Demonstration
    -Medical Robotics
    -Reinforcement Learning
    -Automated Machine Learning
    -Hyperparameter Optimization
  • Where do you see yourself professionally 2 years after your bachelor's degree?

 

Application infomation:

Contact us at: RISS@cs.uni-freiburg.de

Deadline December 15, 2020  https://www.daad.de/rise/de/rise-weltweit/ueber-das-programm/ Deadline January 15, 2021 https://riss.ri.cmu.edu/apply/

 

 

PhD program: Call for Application

The European Laboratory for Learning and Intelligent Systems offers an interdisciplinary PhD program. The ELLIS PhD program is a key element of the ELLIS initiative and its goal is to foster and educate the best talent in machine learning related research areas by pairing outstanding students with leading academic and industrial researchers in Europe. The program supports excellent PhDs across Europe by giving them access to leading research through boot camps, summer schools and workshops of the ELLIS programs. Every PhD student is supervised by one ELLIS fellow/scholar and one ELLIS member from a different country and conducts a 1 year exchange at the other location.

The ELLIS PhD Program opens call for applications. Application deadline: 1.12.2020

More information about the program and application procedure can be found on the ELLIS.eu website https://ellis.eu/en/news/ellis-phd-program-call-for-applications