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We have 28 Artificial Intelligence (early years) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (early years) PhD Projects, Programmes & Scholarships

We have 28 Artificial Intelligence (early years) PhD Projects, Programmes & Scholarships

Identification of depression and loneliness in early stages of dementia

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Read more

INSEAD PhD in Management

INSEAD PHD POSITIONS IN MANAGEMENT (FULL-TIME STUDIES, WITH SCHOLARSHIPS) for the mid-August 2025 intake. INSEAD, one of the world's leading and largest business schools, is looking for 16–18 bright potentials to join its premier PhD in Management programme in the following areas. Read more

Causal Machine Learning in Aerospace PhD

This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more

Secure AI-enhanced Policy Framework for Digital Health Data

This proposal is part of the Data-mdapps project which is a collaboration between Kingston University and the WHO European Office for the Prevention and Control of Noncommunicable Diseases (NCD Office) and focuses on addressing the challenges of developing a technical and security policy framework for digital health behavioural data processing. Read more

Neural Networks for Complex Dynamical Systems

Details. Dynamical systems are often solved/integrated by a suitable numerical discretisation method in such a way that certain properties of the underlying systems will be preserved. Read more

Remote patient monitoring using wearable devices and AI

Artificial intelligence (AI) has permeated various aspects of modern life, significantly influencing the healthcare sector. Fuelled by this momentum, remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. Read more

Novel Generative Adversarial Networks for Rapid Engineering Design

Supervisory Team: Dr. David Toal. Project description. Conditional Generative Adversarial Networks (cGANs) have gained notoriety in the media for their ability to create so-called “deep fakes” but their power can also be harnessed to provide predictions of optimal engineering designs. Read more

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