Start Date: 2025 (any month)

Robotic exoskeletons have been widely used to enhance human mobility, aiding individuals with physical or neurological disorders, improving dexterity, and reducing energy expenditure during demanding tasks. Historically, exoskeletons have been rigid, heavy, and fully actuated devices that rely on numerous motors, complex sensors and control systems to function effectively in dynamic, unstructured environments.

This PhD project will focus on the development of a new generation of wearable robots, designed to augment human capabilities employing soft robotic technology. These soft, adaptive, and lightweight devices will conform to the user’s body, offering personalized solutions tailored to individual needs. The primary goal is to enhance mobility without restricting natural movement, preserving the biomechanical characteristics and agility of human motion. These soft wearable robots will have applications in upper-limb rehabilitation, assisting patients during rehabilitation, as well as augmenting mobility and strength for healthy users.

To achieve this, we will begin by studying human anatomy and conducting a thorough assessment of human movement. We will then explore the potential of soft actuators in the design of wearable robots. By integrating analytical models with constrained optimization and machine learning techniques, we aim to gain a deeper understanding of system behavior. Based on these insights, we will establish design principles and propose optimization metrics to guide the development of efficient, comfortable, and user-friendly wearable robots. Throughout the process, we will prioritize the needs of end-users, ensuring that the devices are not only functional but also easy to use, comfortable, and truly personalized.

Eligibility:

• Honours degree or equivalent in a relevant engineering programme; Master’s degree is a plus.
• Experience in mechanical/mechatronics/electronic design, manufacturing, or product development.
• Prior experience in robotics research is advantageous but not required.
• Prior experience with programming languages such as Python, C/C++, or MATLAB is advantageous but not required.
• Excellent communication and teamwork skills.

Before submitting a formal application, please notify Dr Lucas Ferrari Gerez ( lucas.ferrarigerez@glasgow.ac.uk ) of your interest by sending the following documents:

• CV including academic transcripts.
• 1-page Cover letter outlining research interests and motivation for pursuing a PhD.
• Contact information for two academic references.

How to Apply:  Please refer to the following website for details on how to apply:

http://www.gla.ac.uk/research/opportunities/howtoapplyforaresearchdegree/