IMPRS-IS: PhD program; 100 PhD positions 6653 views

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The Max Planck Institute for Intelligent Systems (IMPRS-IS) and the Universities of Stuttgart and Tübingen jointly offers a new interdisciplinary PhD program. This new PhD program will enroll about 100 PhD students over the next six years.

Research areas:
  1. Computational Cognitive Science
  2. Computer Graphics
  3. Computer Vision
  4. Control Systems
  5. Haptics
  6. Human-Computer Interaction
  7. Machine Learning
  8. Micro- and Nano-Robotics
  9. Perceptual Inference
  10. Robotics

Eligibility:

  • Applicant must be curious, creative, and passionate about research to join the school.
  • Applicants with a strong academic background and must hold master’s degree in Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics, or related fields are encouraged to apply.

The offer

  • All aspects of the program are in English.
  • Successful candidate may join the program next year.
  • Candidate will be guided by our internationally renowned faculty.
  • Selected candidate will register as a university graduate student and conduct research for approximately 3 years.
  • Selected candidate may take part in a wide variety of scientific seminars, advanced training workshops, and social activities.
  • The PhD degree will be conferred when candidate successfully complete the PhD project.
  • Selected candidate will receive funding via an employment contract, subject to the rules of the Max Planck Society and the two participating universities.

Application

  • Admission will be competitive.
  • Apply via the school’s website before the closing date.
Quick Overview————-
Organization

International Max Planck Research School for Intelligent Systems (IMPRS-IS)

Fellowship Level Doctoral
Country Germany
Subject areas

Engineering, Computer Science, Cognitive Science, Mathematics, Control Theory, Neuroscience, Materials Science, Physics

Fellowship amount As per the rules
Eligibility Open to all nationalities
Deadline November 2, 2020, at 11:59am CET
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