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We have 82 Computer Vision PhD Projects, Programmes & Scholarships for European Students (exc UK)
Computer Vision PhD Projects, Programmes & Scholarships for European Students (exc UK)
We have 82 Computer Vision PhD Projects, Programmes & Scholarships for European Students (exc UK)
Last chance to apply
Cognition in Insects
Primary Supervisor: Prof Lars Chittka. Funding: China Scholarship Council (CSC). Deadline: 29th January 2025. Project Overview. Read more
Last chance to apply
Decoding and mapping Earth's species interactions with artificial intelligence
Primary Supervisor: Dr Ian McFadden. Funding: China Scholarship Council (CSC). Deadline: 29th January 2025. Project Overview. Read more
Neural Networks and Bayesian Methods in Computational Neuroscience
This PhD will use deep learning methods in computational neuroscience, with a particular focus on modelling and analysis in neuroimaging. Read more
Robotics and AI - Cloud robotics/Networked Systems
This PhD project is in the areas of robotics and AI with the focus of networked/cloud robotics system. The student is expected to develop a new system architecture and software for future robotics systems. Read more
Biologically-Inspired Active Vision
Vision is a fundamental source of information for animals and robots when exploring their environment. Agents utilize visual data to initially perceive and gather information about the scenario. Read more
School of Computer Science PhD Studentships
The School of Computer Science at the University of St Andrews is offering a number of PhD scholarships for 3.5 years of study in our doctoral research programme. Read more
GEMS Topic: PrivaCue: Privacy-Preserving Enhancement of Human Well Being based on Subtle Cues
The rapid advancement of AI offers unprecedented opportunities to enhance human well-being in mental and physical health. This project aims to revolutionise healthcare through advanced AI data processing and analysis, particularly for early alerts and interventions. Read more
GEMS Topic: AI-Driven Incidental Detection of Unruptured Intracranial Aneurysms: Development of a Multi-Agent Reinforcement Learning Tool for Enhanced Neuroimaging
Incidental detection of unruptured intracranial aneurysms (UIAs) has become more critical with advancements in imaging technologies. Read more
GEMS Topic: Digital Playbooks for Scaling NGO-led Community Health
This project aims to design and develop a technical infrastructure for a new form of community health resource, a digital playbook, that will underpin the scalability and cultural adaptability of NGO-led community health initiatives. Read more
GEMS Topic: Seamless 3D Model Generation for Human Movement Analysis Using Multi-Modal Data Fusion and Artificial Neural Networks
This study integrates multi-modal data fusion and Artificial Neural Networks (ANNs) to create seamless 3D models for human movement analysis. Read more
AI for Parameter-Free Image Reconstruction
This project is offered by the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics, for entry in September 2025. Read more
Machine Learning and AI for Optical System Optimization
Machine Learning and AI for Optical System Optimization. Read more
Last chance to apply
Rethinking Chemistry Triplet in the Era of Artificial Intelligence (ReCheT-AI)
Chemistry education has long been indebted to the chemistry triplet (CT) paradigm, initially proposed by Johnstone (1982). The triplet asserts that chemistry phenomena can be taught in terms of macro, micro, and symbolic representations and their relationship. Read more
Last chance to apply
AI-enabled Instructional Support for Science Education
Teachers are at the core of every education system and the ability of teachers to deliver quality teaching matters. Yet, teachers often find themselves without adequate instructional support in meeting the learning needs of every student, especially in large class sizes. Read more
Machine Learning to Build Trustworthy Robot Swarms
Supervisory Team: Mohammad Soorati. Project description. We are seeking a PhD candidate to join our cutting-edge research team (visit sooratilab.com) focused on advancing the trustworthiness and usability of multi-robot systems, particularly in the context of swarm robotics. Read more