Fully Funded PhD in AI, Neuroscience & Healthcare: Early Detection of Mild Cognitive Impairment Using Self-Supervised Learning University of Lincoln in United Kingdom

Fully funded PhD opportunity at the University of Lincoln in AI, Neuroscience, Healthcare Analytics, EEG Signal Processing, Self-Supervised Learning, and Explainable AI.

The project is titled Early Detection of Mild Cognitive Impairment Using Self-Supervised Learning. It focuses on developing advanced machine learning and anomaly detection methods that can learn from large volumes of unlabelled EEG data and produce clinically meaningful, interpretable insights for earlier intervention in mild cognitive impairment (MCI).

This studentship sits at the intersection of Artificial Intelligence & Machine Learning, Neuroscience, Biomedical Engineering, and Healthcare. The project includes an industry collaboration with NeuroX, offering access to real-world EEG datasets and translational expertise.

Funding is described as fully funded through the University of Lincoln’s EPSRC Doctoral Landscape Award (ENACT). The award provides PhD tuition fees at UK rates, a tax-free stipend at EPSRC rates, and a research training support grant.

Eligibility highlights: applicants should have a background in AI, machine learning, computer science, data science, biomedical engineering, signal processing, or a related discipline. The post states that applications are open to UK Home applicants only.

Deadline: 12 June 2026.

Interested candidates should review the project information and application details and apply via the provided University of Lincoln link before the closing date.