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We have 816 Artificial Intelligence PhD Projects, Programmes & Scholarships
Artificial Intelligence PhD Projects, Programmes & Scholarships
We have 816 Artificial Intelligence PhD Projects, Programmes & Scholarships
Next-Generation Wind Turbulence Modelling with AI Integration (ReNU+24/EE/MCE/SHEN)
The EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities Plus (ReNU+) is a collaborative doctoral training programme run by the Universities of Northumbria, Newcastle and Durham. Read more
Machine Learning Driven Hybridisation and Optimisation of Renewable Energy Systems (ReNU+24/EE/MCE/QIAN)
The EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities Plus (ReNU+) is a collaborative doctoral training programme run by the Universities of Northumbria, Newcastle and Durham. Read more
Innovative Biopolymer Electrolytes with Enhanced Sodium-Ion Conductivity for Sustainable Battery Solutions (ReNU+24/EE/MCE/XING)
The EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities Plus (ReNU+) is a collaborative doctoral training programme run by the Universities of Northumbria, Newcastle and Durham. Read more
DT-CREED: Digital Twin for Cyber-physical Resilient and Equitable Electricity Distribution (ReNU+24/EE/MPEE/RAJASEKARAN)
The EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities Plus (ReNU+) is a collaborative doctoral training programme run by the Universities of Northumbria, Newcastle and Durham. Read more
Sussex AI PhD studentships
The University of Sussex invites applications for PhD studentships based within Sussex AI, an interdisciplinary Centre of Excellence based at the University of Sussex. Read more
Understanding the Human Spatial Navigation in Complex Urban Environment - CSC PhD scholarship
The University of Birmingham is inviting applications for a China Scholarship Council (CSC) PhD studentship focused on human navigation in urban environments. Read more
(UoM - IIT KGP) Application of dynamic mode decomposition in large language models (LLM)
Dynamic Mode Decomposition (DMD) is a data-driven technique that is widely used now for different applications. It is a machine learning technique. Read more
Deep Learning Based Machine Vision for Space-Informed Applications
The increasing congestion of Earth's orbit with satellites and debris poses significant challenges in space activities, while sensors from space provide valuable data about the Earth to inform net zero. Read more
Computer Vision with Responsible Artificial Intelligence for Human-Related Data
Human data is centric to many computer science, machine learning and biomedical engineering research. Such data includes human images/videos, motions and trajectories, medical images (X-ray, MRI, CT), faces, gestures, medical records, etc. Read more
Artificial Intelligence for Virtual Characters in Computer Graphics and Computer Animation
Driving by the heavy demands from the games and animation industry, smart virtual characters underpinned by deep learning based artificial intelligence have received significant focus. Read more
Trustworthy AI: Integrity, Adaptability, and Timeliness for Collaborative and Dynamic Environments
In an increasingly interconnected world, AI systems are now at the forefront of critical applications, from healthcare to global communication networks. Read more
Computational methods for medical image analysis: Generative Model, Large Vision-Language Model, Multimodal Learning and Foundation Model
Are you a prospective PhD student looking to make a significant impact in healthcare AI? Join our dynamic research team as we delve into the transformative potential of cutting-edge technologies like generative models and foundation models. Read more
Unveiling the Parkinson’s disease tremor clinical marker with explainable artificial intelligence
Previous studies used artificial intelligence to overcome human observation limitations. Despite the reported well performance in using artificial intelligence, the discerning characteristics comprehensible by doctors are missing. Read more
AI for adaptive gene networks over plant evolution
Humanity will need to engineer plants to withstand climate change and boost yield to feed an ever-expanding population. Moreover, the process of engineering better crops needs to be done efficiently, given the rapid rate of climate change. Read more
MSc by Research: Computational Evolutionary Transcriptomics for Cancer Diagnostics
In this computational Master project, we will consult new transcriptomic evidence from bulk- and single cells (single-cell genomics) to test whether evolutionary information of gene birth events within the tree of life can be harnessed to inform transcriptomic signatures for cancer type diagnostics (evolutionary transcriptomics). . Read more