Loughborough University
University of Turku
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We have 804 Artificial Intelligence PhD Projects, Programmes & Scholarships
Artificial Intelligence PhD Projects, Programmes & Scholarships
We have 804 Artificial Intelligence PhD Projects, Programmes & Scholarships
Institute for Digital Technologies
The Institute for Digital Technologies (IDT) is dedicated to advancing digital technology to tackle major global challenges. Read more
3D Heterogeneous Integration of 2D Electronic Materials for Neuromorphic Computing
This projects aims to develop two-dimensional (2D) materials, such as MoS2, which are atomically thin and offer a unique solution for neuromorphic computing hardware, in a 3D system where data processing and storage are unified within the artificial synapses and neurons to realize complex functions such as perception and learning. Read more
Last chance to apply
PhD in Mathematics - Dissecting Neural Networks
Start date. 01 October 2025. Deep learning has shown promising applicability to real-world problems. However, our understanding of deep learning is currently still limited. Read more
25 doctoral researcher positions in MSCA COFUND project Human-Centric Artificial Intelligence for Sustainable Future (HAIF)
The Human-Centric Artificial Intelligence for Sustainable Future (HAIF) doctoral training programme at the University of Turku invites applications for fixed-term doctoral researcher positions based on employment contracts. Read more
MSc by Research: Functional mechanisms and inhibition of biomedically important calcium channels
Ion channels are key components in every cell, bridging cell and organellar membranes for the traversal of charged species. Calcium channels are of particular physiological importance because of the central role calcium plays in cell signalling and cell death. Read more
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Project Q1110: Multi-Object Visual Tracking (MOT) of Animals in Agriculture
This project aims to improve the performance of artificial intelligence-based video analytics in agriculture by developing and applying novel methods for Multi-Object Visual Tracking (MOT). Read more
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Project A2228: Clear and sound: combining image analysis and bioacoustics to link pollinators traffic with fruit set and harvest
Insect pollinators provide fundamental ecosystem services to wild plants and commercial crops, promoting the transfer of pollen between flowers and across plants. Read more
Last chance to apply
Project A2226: Modelling the Impact of Regenerative Land Practices on Carbon Sequestration in Drought Affected Soils Using Machine Learning and Remote Sensing Data
Land regeneration plays a key role in fostering resilience in agri-food systems threatened by climate change, land degradation and desertification which are becoming ever growing challenges for feeding the world. Read more
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Project A2227: Quantitative Verification of Supply Chain Models in the Agri-Food Efficiency Systems
This project aims to enhance the agri-food supply chain's sustainability, fairness, and resilience using automated computing techniques. Read more
PhD studentship in Neuro-Symbolic AI - Correct Reasoning in Large Language Models
One fully funded, full-time PhD position to work with Vaishak Belle in the School of Informatics, University of Edinburgh. The University of Edinburgh offers an exciting interdisciplinary, collaborative environment integrating different subfields of computer science and artificial intelligence. Read more
Advancing Seasonal Weather Risk Assessment with Machine Learning
The increasing frequency and severity of extreme weather events, exacerbated by climate change, pose substantial risks to food security and result in widespread loss and damage to property. Read more
Scalable Safe Decision Making in Networked Cyber-Physical Systems
Emerging applications of Cyber-Physical Systems (CPS), such as multi-agent robotics, Internet-of-Things, autonomous driving, and smart manufacturing often involve a large number of hardware and software components that interact with each other in a coupled, time-sensitive, and context-varying operation environment. Read more
MSc by Research: Investigating the tumor suppressor functions of chromatin remodelling
One of the unanticipated outcomes of population based genome sequencing has been the finding that genes involved in the regulation of many genes are mutated at high frequency in tissue specific cancers. Read more
Polarised neutron spectroscopy for energy applications
Neutron spectroscopy can provide deep insight into the physics underpinning technologies necessary for the transition to net-zero. Read more
Bayesian Deep Learning for cosmology with Euclid
This project will focus on the combination of cutting-edge Deep Learning and statistical methods to enable cosmological inference from next-generation facilities such as the European Space Agency’s Euclid mission. Read more