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We have 14 Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK) in Leeds
Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK) in Leeds
We have 14 Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK) in Leeds
Computer Arithmetic for the Next Generation of Integrated Circuits
Research Group:
School of Computing
The growing importance of artificial intelligence is fostering a paradigm shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. Read more
Integrated computational and biochemical investigation of EGFR-mediated cell signaling
This PhD project is focused on understanding the mechanisms of epidermal growth factor receptor (EGFR) signaling and its role in cellular processes such as proliferation, differentiation, and survival. Read more
Last chance to apply
MRC DiMeN Doctoral Training Partnership: Understanding how phytochemicals exert anti-cancer effects with chemical proteomics
Many plant derived compounds (phytochemicals) have been developed into pharmaceutical drugs. Many other phytochemicals in the modern diet exert potent biological effects on the human body. Read more
Last chance to apply
MRC DiMeN Doctoral Training Partnership: Using AI to predict amyloid aggregation in neurodegenerative diseases
Neurodegenerative diseases of ageing such as Alzheimer’s and Parkinson’s diseases (AD and PD) have a huge societal and financial impact yet cost-effective therapies to delay or cure these diseases are lacking. Read more
Last chance to apply
MRC DiMeN Doctoral Training Partnership: Using AI to predict amyloid aggregation in neurodegenerative diseases
Neurodegenerative diseases of ageing such as Alzheimer’s and Parkinson’s diseases (AD and PD) have a huge societal and financial impact yet cost-effective therapies to delay or cure these diseases are lacking. Read more
Medical image synthesis using generative machine learning models for testing public health hypotheses related to ischemic stroke risk
Research Group:
School of Computing
Generative AI is increasingly being applied in medical imaging to enhance the quality of collected images or to extend imaging studies to include modalities that would otherwise be impossible to obtain. Read more
Effective Urban Airspace Management under Realistic Communication Constraints
Research Group:
School of Computing
Autonomous and unmanned aircraft have received significant attention over the past decade, both in academic research and in industry. 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
Edge intelligence for Internet of Things
Research Group:
School of Computing
Edge intelligence for the Internet of Things (IoT) presents a revolutionary solution to the limitations of existing approaches to data processing and decision-making. Read more
Understanding and mitigating instability in low-precision training of large models
Research Group:
School of Computing
In the last decade, advancements in machine learning have been driven by the development of purpose-built hardware accelerators. In the last couple of years, however, the size of models has increased at a pace that hardware progress alone has not been able to match. Read more
Can AI-based weather and climate models enhance humanitarian response and energy planning?
Background. As climate change continues to unfold, enhanced early warning systems for natural hazards are a key part of disaster risk reduction. Read more
Uncertainty in the economy and in sea-level rise: gaming robust strategies for coastal resilience
Background. Sea-level rise (SLR) responses in coastal cities involve multi-decadal lead times, and human decisions face budgetary and climate uncertainties under scientific updates. Read more
Understanding uncertainties in the measurement and simulation of Antarctic ice sheet dynamics
Background. The Antarctic Ice Sheet is the largest reservoir of freshwater on Earth. If it were to melt entirely, global sea levels would rise by an average of 58 metres. Read more
Last chance to apply
MRC DiMeN Doctoral Training Partnership: Applying cutting-edge machine learning to rectal cancer MRI from a tertiary hospital: predicting treatment effect for chemoradiotherapy and immunotherapy
Applying cutting-edge machine learning to rectal cancer MRI from a tertiary hospital. predicting treatment effect for chemoradiotherapy and immunotherapy. . Read more
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