PhD in Soft Robotics, Biohybrid Systems & Learning

Immigration Policy Lab

Zürich

On-site

CHF 55,000 - 75,000

Full time

14 days+

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Benefits offered by this job

Public transport passes
ASVZ sports program
Pension benefits

Job summary

ETH Zurich invites applications for doctoral positions in soft and musculoskeletal robotics, biohybrid living systems, and robot learning. The lab aims to define new directions and welcomes researchers who will shape their own research questions.

Work across hardware, biology, and learning in a collaborative environment with opportunities to publish and contribute to open-source platforms, in Zurich's vibrant innovation ecosystem.

Qualifications

  • Strong experimental and hands-on research ability across hardware, biology, and learning.
  • Experience with CAD, 3D printing, machining, electronics, or robot integration is advantageous.
  • Excellent written and spoken English; interdisciplinary collaboration skills.

Responsibilities

  • Take research ideas from concept to working systems with architecture design, building, sensing, and control.
  • Prototype rapidly, measure, iterate, and validate through real-world experiments.
  • Engineer bones, joints, tendons, and muscles using compliant materials or living tissue.
  • Develop learning-based control and perception methods for real robots and responsible bench-testing.
  • Publish at top venues and release open-source hardware/code to support the community.
  • Collaborate closely across hardware, muscles, and machine learning teams.

Skills

Hands-on system building (CAD, 3D‑打印,

Education

Master's degree in mechanical engineering, robotics, mechatronics, electrical engineering, computer science, materials science, bioengineering, or related field

Job description

ETH Zurich invites applications for doctoral positions in soft and musculoskeletal robotics, biohybrid living systems, and robot learning. The lab aims to define new directions and welcomes researchers who will shape their own research questions.

Work across hardware, biology, and learning in a collaborative environment with opportunities to publish and contribute to open-source platforms, in Zurich's vibrant innovation ecosystem.

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