PhDApplications Closed

N/A

Unknown Organization
Stuttgart or Tübingen, Germany
Apply by Nov 15, 2025

Application deadline

Nov 15, 2025

Job

Job location

N/A

Geocoding

Stuttgart or Tübingen, Germany

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Nov 15, 2025

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

N/A

Geocoding

Stuttgart or Tübingen, Germany

Geocoding in progress.

Source: legacy

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Job Description

The Max Planck Institute for Intelligent Systems and the Universities of Stuttgart and Tübingen collaborate to offer an interdisciplinary Ph.D. program, the International Max Planck Research School for Intelligent Systems (IMPRS-IS). This doctoral program will accept its ninth generation of Ph.D. students in spring of 2025. We anticipate hiring over 60 doctoral researchers this recruitment round. We seek students who want to earn a doctorate while contributing to world-leading research in areas such as biomedical technology, computational cognitive science, computer vision, control systems and optimization, data science, haptics and human-computer interaction, machine learning, micro- and nano-robotics, neuroscience, perceptual inference, robotics and human-robot interaction, soft robotics, and other related fields. Admitted Ph.D. students can join our program in spring (or later) of 2025. You will be mentored by our internationally renowned faculty. You will conduct your research in either Stuttgart or Tübingen, Germany. IMPRS-IS offers a wide variety of scientific seminars, workshops, and social activities. All aspects of our program are in English. Your doctoral degree will be conferred when you successfully complete your Ph.D. project. Our dedicated staff members will assist you throughout your time as a doctoral student.

Requirements

  • We seek students who want to earn a doctorate while contributing to world-leading research in areas such as biomedical technology
  • computational cognitive science
  • computer vision
  • control systems and optimization
  • data science
  • haptics and human-computer interaction
  • machine learning
  • micro- and nano-robotics
  • neuroscience
  • perceptual inference
  • robotics and human-robot interaction
  • soft robotics
  • and other related fields.