Logics are prominent in creating understanding of different computation paradigms, and as frameworks for the theory of verification and databases. Read more
This PhD project aims to advance the development of personalised conversational systems by leveraging user simulation, an area of research supported by recent advancements in large language models known for their strong capability in natural language understanding and generation. Read more
Electroencephalogram (EEG) is a non-invasive technique commonly used to measure brain activity. In this project, we aim at using EEG Biofeedback (brain-computer interface (BCI)) for improving cognitive performance (e.g. Read more
A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control. Read more
Background. Smart manufacturing, a broad category of manufacturing that employs digital information, flexible skilled workforce training, and computer-integrated systems, has become the primary pathway for transforming and upgrading manufacturing industry in the coming decades. Read more
This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals. Read more
Project details. Artificial Intelligence (AI) has been shown to be important in obtaining ‘big data’ from whole slide images (WSI) and offers unique opportunities for automated detection of different types of cells as well as their digital footprint which can aid cancer treatment. Read more
The advancement of intelligent vehicles (IVs) has significantly improved their collision avoidance capabilities under normal driving conditions, yet the complete prevention of accidents remains elusive. Read more
The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate modelling and simulation of complex systems in diverse science and engineering disciplines including civil engineering, biomechanics and life science. Read more
In support of the research activities of the EPRSC-funded Future Electrical Machines Manufacturing Hub, the University of Sheffield is offering a funded PhD scholarship to undertake research in the development of digital twin and digital product passports for high-value electric machines to support their end-of-life decisions. Read more
Are you interested in studying in a World Top Russell Group university in the UK? We are seeking to appoint a PhD student in electrical power systems. Read more
This project aims to enhance the quality of life of patients with amputees, spinal cord injury, stroke and brain injury by developing advanced control strategies for artificial limbs. Read more
Are you interested in machine learning and data science and their application to cybersecurity? We have a PhD project fully funded by the DSTL (Defence Science and Technology Laboratory) at The University of Sheffield, part of the prestigious UK Russell Group of Universities in the UK. Read more
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