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We have 1,103 Computer Science PhD Projects, Programmes & Scholarships for Non-European Students
Computer Science PhD Projects, Programmes & Scholarships for Non-European Students
We have 1,103 Computer Science PhD Projects, Programmes & Scholarships for Non-European Students
Machine learning for extreme scale computational imaging in radio astronomy
The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for extreme-scale computational imaging in radio astronomy. Read more
Foundations of deep learning for scalable computational imaging
The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on foundational deep learning methodology for computational imaging in astronomy and/or medicine. Read more
Computational imaging for democratisation of MRI in medicine
The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on computational imaging for magnetic resonance imaging (MRI) in low-resource settings. Read more
Deep learning for black hole tomography
The Biomedical and Astronomical Signal Processing (BASP) laboratory at Heriot-Watt University Edinburgh (HWU), headed by Professor Yves Wiaux is recruiting a PhD student for research on deep learning for black hole imaging. Read more
Monitoring Scotland’s fresh waters from space: re-engineering the state-of-art using artificial intelligence
Scotland’s freshwater ecosystems are under significant pressure from a range of stressors including inputs of diffuse pollution from agriculture, wastewater spillages from combined sewer outflows, and the increasing occurrence of hydroclimatic extremes (Marsden & Mackay, 2001). Read more
PhD Studentship: Using Data-Driven Methods to Model Planetary Atmospheres and Oceans
Award summary . 100% fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate). . Read more
AI-driven trustworthy energy advice for end users
The main research problem in this project will be to explore how AI tools can help domestic end users in their switch to renewable energy, and to do so in a trustworthy manner. Read more
Full PhD scholarships for UK Black researchers at the University of Southampton
The University of Southampton is pleased to launch their Black Futures PhD scholarships scheme for UK Black researchers. This prestigious scheme is aimed at talented UK-domiciled Black and mixed-Black heritage students who want to pursue a PhD at Southampton. Read more
AI for marine biodiversity monitoring
Co-supervisor. Professor Geoff Merrett. The project will explore new techniques in computer vision to enable AI on the “edge” i.e. Read more
Modelling ice sheet response to abrupt climate changes to understand their role in Dansgaard–Oeschger events
This PhD project will use complex and state-of-the-art coupled climate-ice sheet modelling to investigate how ice sheets responded to abrupt climate changes that occurred during the last glacial period (80,000-30,000 years ago). Read more
Monitoring Scotland’s fresh waters from space: re-engineering the state-of-art using artificial intelligence.
Scotland’s freshwater ecosystems are under significant pressure from a range of stressors including inputs of diffuse pollution from agriculture, wastewater spillages from combined sewer outflows, and the increasing occurrence of hydroclimatic extremes (Marsden & Mackay, 2001). Read more
Imaging with AI Integration for Early and Continuous Health Diagnostics and Monitoring (Ref: FP-BS-2025)
Why this research matters. Cancer remains the leading cause of death globally. Early detection is critical to improving survival rates, but traditional diagnostic methods such as CT and MRI are costly, inaccessible in underserved areas, and pose health risks due to ionising radiation. Read more
3-Directional Frictional Mechanical Metamaterials (3DFMMs) (Ref: FP-AZ-2025)
Metamaterials have extraordinary properties and functionalities not typically found in conventional solids. Read more
Integration of multi-sensory technology solutions to use visual and acoustic sensor systems for wildlife and eco-system monitoring (Ref: FP-PL-2024/ CENTA2025-LU6)
Assessment of the ecological health of the UK’s wildlife and its complex interactions with a range of stimuli including agricultural practice, urbanisation, climate change effects, etc. Read more