Researcher (ML Focus) in Soft Robotics Systems

About the role

The Soft Robotics Lab at ETH Zurich, through the Singapore-ETH Centre, is hiring a full-time researcher in Singapore for Project Nyala, the Automated Loose Baggage Handling System for Narrow-Body Aircraft. The project, funded by the Civil Aviation Authority of Singapore, builds a compact robotic system to automate loading and unloading of bags up to 32 kg in aircraft cargo holds with less than 1.2 m of clearance. The role is a builder's role: you will design, build and test soft robotic manipulation systems, working with mechanical design, compliant actuation, fabrication, electronics and control.

Key responsibilities

• Take soft robotic end-effectors and manipulation subsystems from concept to working prototype.
• Integrate sensing and control of the gripper into machine learning algorithms trained for dexterous manipulation of baggage.
• Design adaptive grasping strategies and manipulation algorithms, validated by systematic real-world testing and design trade studies.
• Deliver functional prototypes, integrated robotic subsystems and software solutions that meet project milestones and KPIs.
• Collaborate daily with the SUTD-led consortium, integrating SEC's end-effector and grasping technology with the perception, planning and platform work of partner institutions.

Required profile

• Master's degree or PhD in mechanical engineering, robotics, mechatronics, electrical engineering or a closely related field.
• Demonstrated hands-on experience building or programming physical systems (prototyping, CAD, fabrication, electronics, robot integration, robot programming or machine learning).
• Prior research experience, such as a Master's thesis or research project, with strong written and spoken English.
• A bias toward action: building, testing and iterating quickly rather than staying in simulation.
• Background or interest in soft robotics, robotic grasping and manipulation, or bio-inspired design is a plus; experience with deformable object handling or confined-space mechanisms is a further plus.

Required skills

• Working knowledge of actuation, mechanism design, control or embedded systems, with a willingness to grow across the robotics stack.
• Machine learning for robotic control and manipulation.

What we offer

• Fixed-term contract of 2 years.
• Remuneration commensurate with qualifications and experience.
• 25 days of annual leave and 1 day of birthday leave.
• Annual dental benefits and comprehensive healthcare insurance.
• Flexible hybrid work (up to 2 days per week from home).
• Networking opportunities across disciplines and a diverse, inclusive workplace.

Applications are submitted as a single merged PDF containing a cover letter, detailed CV, transcripts, three references and representative published work.