Cyber Valley Job Board

Artificial Intelligence is a key technology for industry, medicine, and our society as a whole. The State of Baden-Württemberg, the Max Planck Institute for Intelligent Systems, the Universities of Stuttgart and Tübingen, and leading companies from the IT and industrial sectors have joined forces to build one of Europe’s largest research partnerships in Artificial Intelligence: Cyber Valley. This initiative has established new research groups and professorships in the fields of machine learning, robotics, and computer vision, and it will foster a dynamic ecosystem for technology transfer and startups.

The University of Stuttgart, Germany, invites applications for positions of two Independent Research Group Leaders in the Cyber Valley Initiative.

Researcher position open: develop a neuro-muscular model and perform computer simulations for muscle driven legged walking and running.

Zur Umsetzung für den Neubau des Cyber Valley Zentrums in Tübingen sucht das Max-Planck-Institut für Intelligente Systeme zum nächstmöglichen Zeitpunkt eine/n Baukoordinator/in.

The International Max Planck Research School for Intelligent Systems (IMPRS-IS) is now hiring our 2019 generation of Ph.D. students. They will contribute to world-leading research in areas such as machine learning, computer vision, robot dynamics and control, micro- and nano-robotics, and haptics.

The Embodied Vision Group (https://ev.is.mpg.de) is looking for 2 PhD students in Computer Vision for Learning Systems who are holding an outstanding Master’s degree in the computer or natural sciences, electrical or control engineering or applied mathematics, and who have studied areas related to computer vision and machine learning.

The Embodied Vision group investigates novel approaches to vision-based perception and learning for intelligent systems that are closely coupled with control and planning. We are looking for talented students who are pursuing a Master of Science degree in computer science, electrical or control engineering, applied mathematics or physics and are eager to pursue their Master thesis on a research topic in our group.

The Embodied Vision group investigates novel approaches to vision-based perception and learning for intelligent systems that are closely coupled with control and planning. We are looking for talented students who are pursuing a Master of Science degree in computer science, electrical or control engineering, applied mathematics or physics to support our research as student assistants (HiWi) or interns.

HiWi / part-time student assistant / internship position to support research in machine learning, control, and networked systems.

Investigation of a new method for robot learning from demonstration problems, which will model the human demonstrations using dynamic behavior trees. This new paradigm would allow a robot to reason not only in terms of task accomplishment, but also in terms of sensory motor couplings to implement behaviors at runtime; resulting in increase of the robustness of the robot

Master thesis on learning control for self-assembled magnetic miniature robots. Collaboration between Physical Intelligence Department and Intelligent Control Systems Group.

Master thesis project on intelligent resource allocation in distributed control of multi-agent systems

Machine learning for advanced control of autonomous systems. We are continuously looking for outstanding students who are eager to do their Master thesis on a challenging project at the intersection of Machine Learning and Control.

In a new research project, we seek to integrate recent advances in wireless networking with networked control to develop a superior solution for reliable and economic wireless control for cyber-physical systems (CPSs). We are looking for outstanding students who are interested in doing their Master thesis in this novel, interdisciplinary, and challenging research area. Depending on the student's background and interests, the project can involve fundamental theoretical developments, extensive simulation studies, as well as applied work around developing a novel CPS demonstrator.