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We have 160 University of Southampton PhD Projects, Programmes & Scholarships for Self-funded Students
University of Southampton PhD Projects, Programmes & Scholarships for Self-funded Students
We have 160 University of Southampton PhD Projects, Programmes & Scholarships for Self-funded Students
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Next generation of high power fibre lasers in the visible and ultraviolet wavelength bands
Supervisory Team. Prof Andy Clarkson and Dr Jacob Mackenzie. Project description. Read more
Power scaling strategies for continuous-wave and short pulse fibre lasers operating in the two-micron wavelength band
Supervisory Team. Prof Andy Clarkson and Dr Jacob Mackenzie. Project description. Read more
Synthesis of Nanomaterials for Medical Imaging Applications
Supervisory Team. Andrew Hector and David Smith. Project description. We seek a student with an interest in synthetic inorganic materials chemistry for a project to produce and characterise a new group of nanomaterials. Read more
PhD in Chemistry, supported by the Mayflower Scholarship
Supervisory Team. Matt Baud. Project description. The School of Chemistry in Southampton is looking to support a candidate to undertake PhD studies under the prestigious Mayflower Scholarship. Read more
Fully funded PhD studentship in Biomedical Photonics: Near-patient rapid on-chip spectroscopy for the diagnosis of Acute Respiratory Distress Syndrome in critically ill patients - a pathway for individualised therapy
Supervisory Team: Prof. Senthil Murugan Ganapathy and Dr. Ahilanandan Dushianthan. Project description. Acute hypoxic respiratory failure is a significant problem in the intensive care unit setting. Read more
Women’s pension entitlement in the UK: Understanding who may have been left under-provisioned by recent changes in state pension age
The 1995 & 2011 Pensions Acts increased the women’s state pension age from 60 to 66, however women born in the 1950s have had little time to adopt their saving plans. Read more
Post-processing of additively manufactured magnesium alloys
Supervisory Team. Dr Dikai Guan and Prof. P.A.S. Reed. Project description. Additive manufacturing can significantly refine the grain size. Read more
Machine Learning models for subgrid scales in turbulent reacting flows
Supervisory Team. Temistocle Grenga, Ed Richardson. Project description. Read more
Wavelet adaptive multiresolution representation for turbulent reacting flows
Supervisory Team. Temistocle Grenga, Ed Richardson. Project description. Hydrogen will be, among the synthetic fuels, the preferable energy carrier able to address the spatial and temporal separation between energy production (renewable source) and consumption. Read more
A combined experimental and modelling investigation of novel reaction pathways for value-added chemicals synthesis from CO2 utilization
Supervisory Team. Dr Syed Zaheer Abbas. Project description. One of the most pressing challenges world is confronting is the climate change mainly due to the global warming. Read more
Neurosymbolic machine learning (NML) for distributed diverse environmental monitoring
Supervisory Team. Rafael Mestre, Mohammad Belal, Tim Norman. Project description. This PhD project focuses on developing innovative techniques for event detection by exploiting Neurosymbolic Machine Learning methods to data acquired using distributed fibre optic sensing (DFOS) platforms. Read more
Memristive Artificial Synapses for Neuromorphic Computing
Supervisory Team. Firman Simanjuntak, Ruomeng Huang. Project description. Read more
Embedded time series machine learning
Supervisory Team. Tony Bagnall, Harold Chong. Project description. Sensors and embedded systems generate high-frequency and high-volume time series. Read more
Neuromorphic Devices for Optoelectronic Neural Networks
Supervisory Team. Dimitra Georgiadou, Frederic Gardes. Project description. Neuromorphic engineering is poised to revolutionise information technologies by developing electronic devices that can realistically emulate biological neural networks. Read more
FRaME: Fragility and Repair of ML ComponEnts in interconnected cyberphysical systems
Supervisory Team. Ekaterina Komendantskaya, Tim Norman. Project description. Machine learning (ML) components such as neural networks (NNs) have become pervasive in complex system design. Read more