Here is a summary of the program, and the details are explained below.
The core focus of participation will be independent research that is guided by one or more of our faculty. This research will take place over approximately three years and culminate in a doctoral dissertation. In addition to ongoing support from the primary advisor, doctoral candidates benefit from regular interaction with their thesis advisory committee (TAC), a cross-institutional panel that includes three or more IMPRS-IS faculty members.
Our school's research topics range from computer science to control theory, from mechanical engineering to neuroscience, and from mathematics to materials science. To bridge these disparate academic fields and facilitate creative insights, IMPRS-IS scholars complete an annual training program, taught by our faculty and associated faculty, that provides a broad background across all relevant areas of intelligent systems. Scholars may also take courses at both participating universities and are encouraged to join in a wide array of seminars, conferences, retreats, workshops, career-development courses, and social activities.
IMPRS-IS is located at two sites and brings together outstanding research and training opportunities in the southwestern German region of Stuttgart (a modern tech-focused city) and Tübingen (an historic college town). Research at the Stuttgart site of the Max Planck Institute for Intelligent Systems covers small-scale robotics, self-organization, haptic perception, bio-inspired systems, medical robotics, and physical intelligence. The Tübingen site of the institute concentrates on machine learning, computer vision, robotics, control, and the theory of intelligence.
The training and research activities of the MPI sites are matched by those of the universities in Stuttgart and Tübingen. Research at the University of Stuttgart focuses on control theory, robotics, machine learning, and computer vision, while the work at the University of Tübingen covers perceptual inference, psychophysics, machine learning, 3D appearance acquisition, and computational neuroscience.
IMPRS doctoral candidates also have access to a rich palette of professional training. Core activities help integrate newcomers and allow students and faculty to interact and make cross-connections. Supplementary activities provide special training in particular technical topics, such as deep learning, and useful soft skills, such as how to give effective presentations.
Students are supported throughout the program by the dedicated coordination office, as well as by older students, postdocs, and helpful staff at the participating institutions. The Max Planck Institute for Intelligent Systems International Office, the University of Stuttgart Office of International Affairs, and the University of Tübingen Welcome Center and Academic Advisory Office for International Students work in tandem with the IMPRS-IS coordinator to help students smoothly transition into our program. In particular, we guide our students in obtaining the necessary visas, finding short- and long-term housing, identifying career opportunities for partners, arranging childcare, securing health insurance, setting up a bank account, completing administrative forms, and handling any issues that may arise.
Our program is one of over sixty International Max Planck Research Schools run by the Max Planck Society in partnership with various universities and research institutions. IMPRS programs provide an extraordinary framework and working environment for graduate students, and they provide unique opportunities for interdisciplinary research projects and projects that require special equipment.
The International Max Planck Research School for Intelligent Systems is a new interdisciplinary Ph.D. program offered by the Max Planck Institute for Intelligent for Intelligent Systems, the University of Stuttgart, and the University of Tübingen.
The International Max Planck Research School (IMPRS) for Intelligent Systems (IS) started in fall 2017. This doctoral program will enroll outstanding Ph.D. students over the next six years