"I love Max Planck ETH Center for Learning Systems"

2022-08-08 03:16:04

AboutBackgroundCenter ActivitiesParticipationResearchResearch TopicsPublicationsPeopleOrganizationMembersPostDocPhD StudentsPhD ProgramProgram BasicsStudent InformationHow to ApplyEventsNewsFAQs AboutBackgroundCenter ActivitiesParticipationResearchResearch TopicsPublicationsPeopleOrganizationMembersPostDocPhD StudentsPhD ProgramProgram BasicsStudent InformationHow to ApplyEventsNewsFAQs Max Planck ETH Center for Learning SystemsA joint research center of ETH Zurich and the Max Planck SocietyThe Max Planck ETH Center for Learning Systems (CLS) addresses cross-disciplinary research questions in the design and analysis of natural and man-made learning systems. The excellent engineering competences of the faculty and research team members at the ETH Zurich in Switzerland ideally complement the competences in natural sciences and computer science at the Max Planck Institute for Intelligent Systems, Tübingen/Stuttgart in Germany. Together we want to build a lighthouse for machine learning and modern artificial intelligence in Europe.The cooperation spans all levels, from leading experts at the senior scientist level to junior scientists obtaining their PhD. Around 50 faculty members are engaged at CLS, drawn from professors from ETH Zurich, directors and group leaders from the Max Planck Institute for Intelligent Systems and selected faculty from external partners. For how to get involved with CLS, see Participation.The CLS doctoral program offers unique opportunities for young academics. The application phase to join in 2022 has closed. Next chance to apply: Fall 2022.At the heart of CLS is its doctoral fellowship program. PhD students profit from joint supervision by ETH Professors and MPI Directors and Group Leaders, ultimately obtaining their doctoral degree from ETH Zurich. With these unique opportunities, CLS offers young academics in the field of learning systems the chance of outstanding collaborations and exchange early in in their careers. Students and young scientists also benefit from summer schools, workshops, and internships. Currently, around 30 PhD researchers are following this route. For application information, see How to Apply.Latest News ERC Consolidator Grant for Georg MartiusFoundation stone laid for new Cyber Valley buildingNew imaging method makes tiny medical robots visible in the bodyOtto Hahn Medal awarded to Alexis E. BlockFirst ELLIS Institute in Tübingen gets go-aheadOne step closer to lifelike avatars CLS PartnersThe Max Planck Institute for Intelligent Systems has campuses inStuttgartand Tübingen. The institute combines theory, software, and hardware expertisein the researchfield of intelligent systems. The Tübingen campus focuses on how intelligent systems process information to perceive, act, and learn throughresearch in the areas of machine learning, computervision, and human-scale robotics. Our Stuttgart campus has world-leading expertise in micro- andnano-robotic systems, haptic perception, human-robot interaction, bio-hybrid systems, andmedical robotics.With its first-class infrastructure and international faculty, ETH Zurich is regularly ranked amongst the very best European Universities. ETH Zurich is also oneof the universities in Europe which focuses most intensively on research; doctoral students account for 4,100 out of a total of 21,000 students. Around 35 ETH professors participate in CLS, primarily drawn from the Departments of Computer Science (D-INFK); Information Technology and Electrical Engineering (D-ITET); and Mechanical and Process Engineering (D-MAVT); as well as from the Departments of Mathematics (D-MATH); Physics (D-PHYS); Civil, Environmental andGeomatic Engineering (D-BAUG); Biosystems Science and Engineering (D-BSSE); and Health Sciences and Technology (D-HEST).The Max Planck ETH Center for Learning Systems (CLS) is a joint academic program between ETH Zurich and the Max Planck Society. Through our platform for exchange in research and education, we aim to advance artificial intelligence by achieving a fundamental understanding of perception, learning and adaption in complex systems. Contact: Sarah DanesEmail: [email protected]© 2022 Max-Planck-Gesellschaft - Imprint | Privacy policySign In