Research Associate in Perceptive Soft Robotics

TN United Kingdom; Scotland; On-site; GBP 30,000 - 50,000; Full time

Job summary

An established industry player is seeking a Research Associate in Perceptive Soft Robotics. This full-time role offers the chance to engage in innovative research within the School of Engineering, focusing on soft robotics and sensor technologies. You will collaborate with international experts on a cutting-edge project, contributing to advancements in robotic platforms. If you have a PhD in a relevant field and a passion for robotics, this is an exciting opportunity to make a significant impact in the field. Join a dynamic team and help shape the future of soft robotics!

Qualifications

• PhD in Electronics, Materials Science, or Mechanical Engineering required.
• Proven expertise in robotics and soft robotics is essential.

Responsibilities

• Contribute to the SELECT project in soft robotics research.
• Collaborate with international colleagues on sensor fabrication.

Skills

Robotics

Soft Robotics

Flexible Sensor Fabrication

Teamwork

Communication Skills

Education

PhD in Electronics

PhD in Materials Science

PhD in Mechanical Engineering

Job description

Research Associate in Perceptive Soft Robotics, Midlothian

Client: The University of Edinburgh

Location: Midlothian

Job Category: Other

EU work permit required: Yes

Job Reference: 0f9dfaede351

Job Views: 9

Posted: 26.04.2025

Expiry Date: 10.06.2025

Job Description:

This position is within the School of Engineering, College of Science & Engineering, at the Institute for Imaging, Data and Communications. It is a full-time role (35 hours/week) with a planned start date of 1st March 2025, fixed-term for up to 24 months.

The Opportunity:

The Research Associate will contribute to the SELECT project funded by ERC, collaborating with international colleagues. The role involves research in soft robotics, sensor fabrication, and control of robotic platforms.

Your skills and attributes for success:

• A PhD in Electronics, Materials Science, or Mechanical Engineering
• Proven expertise in robotics, especially soft robotics
• Experience in flexible sensor fabrication
• Knowledge of controlling soft robotic systems
• Excellent teamwork and communication skills

Please apply including a cover letter and CV.