Research and Development of Educational Resources for Quadruped Robots and Wireless Sensor Applications in Industry, Security, and Healthcare Teesside University in United Kingdom

This fully funded PhD studentship at Teesside University offers an exciting opportunity to advance the research and development of educational resources that integrate quadruped robots, wireless sensors, and artificial intelligence. The project aims to create innovative, modular learning systems that support hands-on training and real-world applications across sectors such as environmental monitoring, healthcare, industrial automation, and security. By leveraging the OLO-ROBOTICS platform, candidates will develop tools that combine robotic mobility, sensor integration, AI algorithms, and virtual reality (VR) modules, enabling immersive simulations and practical deployment in both virtual and physical environments.

Recent market intelligence highlights a gap in the robotics sector: while open-source hardware is widely available, it often lacks application-specific focus and remains limited to remote-controlled platforms. This project, in collaboration with DarbyTech, JBA, and OLO-ROBOTICS, will address this gap by developing commercially viable educational kits and AI-driven robotic solutions. Expected outcomes include a quadruped robot trainer with intelligent sensing, customizable software interfaces, and sector-specific modules for industry, healthcare, and education.

The successful candidate will evaluate open-source hardware platforms, develop applications that integrate OLO-ROBOTICS with AI-driven behaviour, design sensor-driven control algorithms, and build VR modules for immersive training. Prototyping modular educational kits will allow end-users to deploy robots for complex scenarios, and candidates will participate in testing, validation, and dissemination of findings through publications and conferences. The project is embedded within the Tees Valley Investment Zone, a transformative initiative led by Teesside University to foster innovation and regional growth in digital and creative industries.

Applicants should have a good honours degree (2:1 or above) in robotics, computer science, electrical/electronic engineering, or related fields. A master’s degree is desirable but not essential. Candidates should demonstrate understanding of robotic systems, control algorithms, wireless sensor integration, and programming experience (Python, ROS), as well as familiarity with AI or machine learning frameworks. International applicants must meet English language, ATAS, and visa requirements.

The studentship covers tuition fees for up to four years and provides an annual tax-free stipend of £20,780 for three years, subject to satisfactory progress. Applications are welcome from UK and international students. The research community at Teesside University is dynamic and supportive, offering training, mentoring, and opportunities for professional development. The successful candidate will join the Centre for Sustainable Engineering and participate in research group activities, workshops, and the wider postgraduate community.

To apply, submit an online application for the Funded PhD, specifying 'other' for funding and entering 'RDS' and the project title. Clearly indicate you are applying for a Funded Studentship and upload a proposal with the project title. Applications received by the deadline will be considered, and shortlisted candidates will be invited for an online interview. Successful applicants will commence their PhD in May or October 2026.

Teesside University is committed to inclusivity and provides a safe, welcoming campus for all students. The research is designed to have real-world impact, influencing policy and practice in the UK and beyond. Join a vibrant research community and contribute to the advancement of robotics, AI, and educational technology.