28 power electronics positions at University of Sheffield

Fault detection in direct-drive magnet wind power generators

Fault detection in direct-drive magnet wind power generators Department of Electronic & Electrical Engineering PhD Research Project Directly Funded UK Students Prof Zi-Qiang Zhu Application Deadline

EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance

collect evidence to justify and test network management strategies, such as flushing and flow conditioning, that will ultimately secure resilience in this essential infrastructure and support the ability

PhD Studentship in: Service Reservoir Integrity

or 22nd July 2024 This fully funded project provides an unrivalled opportunity to develop world-class technology for the monitoring of service reservoirs (tanks). The focus will be on the ability to detect

PhD Studentship in: Impacts of Blending Drinking Water from Desalination into Existing Distribution Systems

into existing networks requires careful consideration to manage risks such as the disturbance of biofilms and corrosion scale that might have built up protective layers in the past. This PhD will address

Can biophotonics help prevent spontaneous pre-term birth?

Can biophotonics help prevent spontaneous pre-term birth? Department of Electronic & Electrical Engineering PhD Research Project Directly Funded UK Students Prof Stephen Matcher,  Prof DOC Anumba

Energy-efficient AI Using Modular Deep Reservoir Computing

structure within these networks, much like the natural structure in the brain, different properties can be tailored. By combining network modules with varying properties we hope to create more powerful

What do effect sizes mean in real terms? Benchmarking effect sizes in behavioural research

that might be expected because of an intervention. In this sense, the real-world implications of behavioural interventions are hidden from those who might want to use them (e.g., policy makers). For example

SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications

, machine learning, advanced finite element analysis; Desirable: computer modelling, solid mechanics, experience with Ansys or equivalent software, a final year project on a machine learning/biomechanics

Understanding the long-term corrosion of vitrified radioactive waste

nuclear power as part of the solution to the worlds growing energy needs, we first need a safe disposal strategy for radioactive waste. Vitrification, the chemical incorporation of radioactive elements

Using Multivariate Statistical Surrogate Models of Displacement Cascades To Simulate High-dose Irradiation Damage

UK Students Prof Christopher Race Application Deadline: 31 March 2024 Details This project is within the EPSPRC Centre for Doctoral Training in The Science & Tecnology of Fusion Power, a collaboration