Fully Funded PhD in AI, Neuroscience and 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 the area of Artificial Intelligence, Neuroscience, Healthcare Analytics, EEG Signal Processing, and Explainable AI.

The advertised project is titled Early Detection of Mild Cognitive Impairment Using Self-Supervised Learning. The research aims to develop novel self-supervised learning and anomaly detection methods that can learn from large volumes of unlabelled EEG data and produce clinically meaningful, interpretable insights for earlier detection of mild cognitive impairment (MCI).

This PhD sits at the intersection of Computer Science, Neuroscience, Biomedical Engineering, Medical Science, and Statistics. It is especially relevant for applicants interested in AI/ML for healthcare, self-supervised learning, EEG analysis, and clinical decision support.

The studentship is supported by an industry collaboration with NeuroX, which provides access to real-world EEG datasets and translational expertise. The post highlights a strong research focus on advanced AI techniques for healthcare impact, with an emphasis on interpretable and clinically useful models.

Eligibility information on the linked ENACT page states that the studentships are available to UK Home applicants only and that applicants must meet UK Home fee status/residency requirements. The page also notes that language certification should be included if applicable and available.

The recruitment deadline is 12 June 2026, and the studentship is for an October 2026 start. Applicants should submit the official application form together with transcripts, a CV, and any relevant supporting documents by email to the programme address listed on the project page.