The International Max Planck Research School for Intelligent Systems (IMPRS-IS) brings together the MPI for Intelligent Systems with the University of Stuttgart and the University of Tübingen to form a highly visible and unique graduate school of internationally recognized faculty, working at the leading edge of the field. This program is a key element of Baden-Württemberg’s Cyber Valleyinitiative to accelerate basic research and commercial development in artificial intelligence.
We investigate the following fields:
We seek doctoral students who are curious, creative, and passionate about research to join our school and help advance human knowledge about intelligent systems.
Intelligent systems operate autonomously in, and adapt to, complex changing environments. While biological intelligent systems (including humans) have developed sophisticated abilities through interaction, evolution and learning to act successfully in our world, our understanding of these phenomena is still limited. The synthesis of intelligent, autonomous, learning systems remains a major scientific challenge. IMPRS-IS aims to recruit the most promising students in the world to work in this fascinating research area.
The goal of the International Max Planck Research School for Intelligent Systems is to train doctoral students to investigate and understand the organizing principles of artificially intelligent systems that can successfully interact with complex environments. IMPRS-IS researchers deal with fundamental problems of intelligence: perception, action and learning. The IMPRS-IS seeks to create a new generation of young scientists and engineers, within a highly multi-disciplinary environment, enabling them to tackle the fundamental challenges of intelligent systems.
The IMPRS-IS unites within one graduate school a host of leading intelligent systems researchers from mechanical engineering, control theory, computer science, cognitive science, neuroscience, mathematics, and materials science. The program’s research and training have a high potential for practical applications in areas such as robotics, autonomous vehicles, and medical devices.