We invite applications for a funded PhD project focused on developing a machine learning model for a soft robotic hand designed for dexterous manipulation of objects, mimicking human hands. This interdisciplinary project integrates the fields of soft robotics, machine learning, sensor technologies, and additive manufacturing.Soft robotics is an emerging field focused on developing robots with soft, flexible materials that can safely interact with delicate objects and environments. Unlike traditional rigid robots, soft robots can conform to the shape of objects, reducing the risk of damage. This can lead to a paradigm shift in the robotics industry, enabling safe human-robot interaction, minimally invasive surgery, neurorehabilitation for stroke patients, search and rescue missions, underwater and planetary exploration, and the handling of delicate objects. However, soft robotics faces challenges due to the non-linearity arising from structural compliance and high degrees of freedom. Machine learning models can significantly enhance the functionality and efficiency of soft robotic systems in several ways including but not limited to object recognition, advanced sensory integration, adaptive grasping strategies, real-time decision making.This project aims to explore machine learning techniques, especially deep learning, to develop data-driven models for a soft robotic hand capable of dexterous object manipulation, closely mimicking the functionality of a human hand. The work will include developing a soft robotic hand using advanced additive manufacturing techniques, integrating multiple sensors for real-time feedback, implementing control systems, and creating relevant datasets for deep learning models. Validation of the developed model will be conducted through simulation studies and real-world experiments. Based on the results, the design and model will be refined to achieve optimal performance. The success of this project could transform fields such as healthcare, manufacturing, and prosthetics, enhancing functionality and efficiency.Eligibility CriteriaA good first degree and Master’s in engineering, computing (or relevant discipline) is essential. An undergraduate or MSc in Mechanical or electrical/electronic engineering, computing or a field closely related to robotics and artificial intelligence would be desirable but is not essential.Motivated candidates with knowledge or interest in CAD software packages, additive manufacturing, robotics and machine learning tools, programming languages such as Python, C/C++, MATLAB, and experimentation are highly encouraged to apply. Experience with image processing would be beneficial.Applications will be considered based on the quality of the research proposal and its alignment with the research project. The strengths of the individual candidate (in relation to academic competence and commitment) will be considered.All non-native speakers of English must be proficient in written and spoken English.The successful applicant will be required to undertake 150 hours of teaching related work during years 2 and 3 of study.You must have applied for both a place on the PhD programme as well as a scholarship by the scholarship application deadline.The successful candidate must be available to begin their studies in October 2024 on a full-time basis.All scholarship applicants must live in the UK during their studies, within commutable distance to campus.How to applyPlease discuss your research proposal of the above project with Prof Konstantinos Sirlantzis [email protected], Nabila Naz [email protected] , and the research lead Hany Hassanin [email protected] ahead of applying.  You will be required to submit a research proposal and asked to interview with a potential supervisor in the faculty. You can find the research proposal form here. Submit your application via the website Click on the Apply now button in the blue bar at the bottom of this page https://www.canterbury.ac.uk/study-here/explore-postgraduate/explore-postgraduate-research/research-subject-areas/science-information-technology-and-engineeringSelect ‘Science, information technology and engineering’ for the area of researchSelect information technology and engineering for your subject areaSelect full-time study and October 2024 as a start dateTick the box on the proposal form to indicate application for a scholarship alongside a place on the PhD programme.You will be required to upload: Two references Your completed research proposal form A Curriculum Vitae (CV) Evidence of your qualifications A pass in the International English Language Testing System (IELTS) if required. For any queries about the application and admissions process please contact Postgraduate Admissions [email protected].