Research Associate, Physical Intelligence & Soft Robotics

The University of Edinburgh

Easter Howgate

On-site

GBP 41,000 - 49,000

Full time

3 days ago
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Benefits offered by this job

Generous annual leave
Defined benefits pension scheme

Job summary

The University of Edinburgh is seeking a Research Associate to conduct cutting-edge research at the interface of soft sensing, robotics, machine learning and signal processing. The role is based in the School of Engineering / CSE and involves developing sensing and perception methods for embodied robotic systems, with extensive on-campus laboratory work.

You will join an interdisciplinary team and be encouraged to develop new research ideas arising from the ERC project, with a fixed-term

Qualifications

  • PhD or near completion in robotics, EE, ME, CS, biomedical engineering or closely related discipline.
  • Strong research experience in soft/flexible sensors, robotics, machine learning, signal processing, or embodied/physical intelligence.
  • Experience in developing and experimentally validating sensing, perception or learning methods on physical robotic or mechatronic systems.
  • Excellent problem-solving, communication and collaborative working skills.

Responsibilities

  • Conduct research at the interface of soft sensing, robotics, machine learning and signal processing to develop physical intelligence for next-generation soft and embodied robotic systems.
  • Work within an interdisciplinary research team spanning sensing, robotics, electronics and AI and develop/lead new ideas arising from the ERC project.

Skills

Strong research experience
Robotics
Machine learning
Signal processing

Education

PhD in robotics or closely related field
PhD or near completion of PhD

Job description

The University of Edinburgh is seeking a Research Associate to conduct cutting-edge research at the interface of soft sensing, robotics, machine learning and signal processing. The role is based in the School of Engineering / CSE and involves developing sensing and perception methods for embodied robotic systems, with extensive on-campus laboratory work.

You will join an interdisciplinary team and be encouraged to develop new research ideas arising from the ERC project, with a fixed-term

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