PhD in Soft & Biohybrid Robotics with Robotic Learning

1000scholars; Zürich; On-site; CHF 48,000 - 56,000; Full time

Benefits offered by this job

Public transport tickets

Childcare

Pension benefits

Fully funded doctoral position

Job summary

ETH Zurich invites applications for doctoral positions in robot learning, soft and musculoskeletal robotics, and biohybrid systems in Zurich. You will design, build, test and validate compliant robotic platforms, integrating sensing and control, with opportunities to publish at leading venues.

The role emphasizes hands-on experimentation, collaboration across hardware, muscle and machine learning teams, and supervision of Master’s projects within the D-MAVT doctoral programme.

Qualifications

• Master’s degree in a relevant field, nearly completed is acceptable.
• Strong hands-on experience with robotics hardware and software.
• Proven ability to take ideas from concept to working prototype.

Responsibilities

• Turn research ideas into working robotic systems with sensing and control.
• Develop policies and perception for real hardware and non-trivial tasks.
• Publish work at top conferences and collaborate across disciplines.

Skills

Hands-on system building

Machine learning

Mechatronics

English proficiency

Education

Master’s degree in mechanical engineering / robotics / mechatronics / electrical engineering / computer science / bioengineering

Tools

CAD

FEA

3D printing

Electronics

Job description

ETH Zurich invites applications for doctoral positions in robot learning, soft and musculoskeletal robotics, and biohybrid systems in Zurich. You will design, build, test and validate compliant robotic platforms, integrating sensing and control, with opportunities to publish at leading venues.

The role emphasizes hands-on experimentation, collaboration across hardware, muscle and machine learning teams, and supervision of Master’s projects within the D-MAVT doctoral programme.