Advancing AI-Driven Robotics for Injury Rehabilitation Transform the Future of Medical Robotics with Cutting-Edge Research (Ref: UF-BS-2024)

Are you passionate about robotics, AI, and revolutionizing healthcare? This PhD opportunity offers the chance to pioneer advanced robotic systems that will redefine rehabilitation for brain injury patients. Robotic systems have shown immense potential in assisting with recovery, but ensuring the safe and adaptive application of force in real time remains a critical challenge.

In this research, you will explore innovative solutions to improve patient outcomes through AI-enhanced robotic therapy. You will focus on developing adaptive soft robotic systems that deliver precise, real-time force control using deep learning and Finite Element Analysis (FEA). These breakthroughs will push the boundaries of robotics, contributing to safer and more effective rehabilitation therapies.

As a PhD candidate, you will:

• Lead the development of AI-driven soft robotic grippers for brain injury rehabilitation.
• Harness the power of deep learning to predict and control forces using FEA data.
• Gain invaluable experience in cutting-edge fields including robotics, machine learning, soft robotics, and predictive force control.
• Contribute to the growing field of medical robotics, directly impacting the lives of patients recovering from brain injuries.

This research has the potential to transform rehabilitation technology and revolutionize how therapy is delivered. Your work will address real-world challenges, bridging the gap between advanced robotics and healthcare.

We are looking for candidates who are highly motivated, with excellent programming skills and a strong passion for robotics and machine learning. Knowledge in soft robotics, deep learning, force estimation, and problem-solving will be an advantage.

Join us in shaping the future of rehabilitation technology. Apply now to make an impact in a rapidly growing and life-changing field.

The School of Mechanical, Electrical and Manufacturing Engineering has seen 100% of its research impact rated as ‘world-leading’ or ‘internationally excellent’ (REF, 2021).

Supervisors

• Primary supervisor: Dr Behnaz Sohani

Full-time: 3 years, 3.5 years, 4 years

Part-time: 6 years, 7 years, 8 years

Start date: January 2025, April 2025, July 2025

Entry requirements

2:1 honour degree (or equivalent)

English language requirements

Applicants must meet the minimum English language requirements. Further details are available on the International website.

How to apply

Applications should be made online. Under programme name, select ‘Mechanical and Manufacturing Engineering/Electronic, Electrical & Systems Engineering’ and quote the advert reference number UF-BS-2024 in your application.  

To avoid delays in processing your application, please ensure that you submit your CV and the minimum supporting documents.

The following selection criteria will be used by academic schools to help them make a decision on your application.

Apply now