We are always looking for talented new people to join our team!
Members of the HI department come from around the world and enjoy working in our diverse international environment. All of our work is conducted in English, so we value good oral and written English communication skills. Familiarity with German is helpful but not required.
We pursue interdisciplinary research in haptics and robotics and thus welcome applications from people in a wide range of fields. Many of our current department members have a background in mechanical engineering, biomedical engineering, electrical engineering, computer science, or cognitive science.
The main types of opportunities that we offer include:
Unpaid BOGY internships for local high school students
Short-term paid internships for students pursuing a bachelor’s degree
Paid hourly HiWi work for local bachelor's and master's students
Research engineer positions
Research fellowships (typically funded by an external agency such as the Fulbright Scholar Program)
Visiting graduate student positions at the master’s or doctoral level
Master’s thesis research positions
Doctoral research positions (special application required, as explained below)
Postdoctoral research positions
Research scientist positions
Visiting scientist positions for faculty on sabbatical
Individuals who are interested in pursuing a Ph.D. in our department should already hold a master’s degree in a related field and should apply directly to one or more of the doctoral programs listed below, observing the respective application deadlines:
Max Planck Institute for Intelligente Systems Stuttgart
Have you noticed that computers can show beautiful images and play clear sounds, but they don't let you physically touch digital items? What if you could feel the texture of clothing or the brush strokes of a famous art piece on your smartphone?
Led by Katherine J. Kuchenbecker, the MPI-IS Haptic Intelligence department aims to develop new technologies for generating realistic haptic sensations on touchscreens. We are interested in investigating human touch sensation, understanding the electro-mechanical properties of the fingertip, and designing new haptic interfaces based on this knowledge.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems