PhD Studentship: Generative AI for image and video reconstructions from brain signals

Generative AI for image and video reconstructions from brain signals

DoS Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk)

2nd Supervisor Dr. Giorgio Ganis (Giorgio.ganis@plymouth.ac.uk)

3rd Supervisor Dr Vivek Singh (vivek.singh@plymouth.ac.uk)

Applications are invited for a 3.5-year PhD studentship. The studentship will start on 1st October 2025.

Project Description

Can we access our memories from brain signals and reconstruct their visual contents? The aim of our project is to develop an explainable and trustworthy Generative AI pipeline system capable of decoding in real-time electroencephalography (EEG) brain signals of human participants while they are passively viewing or imagining visual content (faces, animals, etc) and of reconstructing this visual content with high fidelity.

Our aim maps to the following concrete objectives:

• Compile a preprocessed dataset of freely available and newly recorded EEG signals from human participants passively viewing or imagining images (faces, landscapes, animals, objects, etc) or videos (events, activities, etc). (Workpackage 1)
• Evaluate Deep Learning models performance in the encoding/decoding of EEG brain signals and in the reconstruction of viewed and imagined visual content. (Workpackage 2)
• Integrate best performance encoders and decoders into a new Generative AI pipeline system and evaluate the pipeline how well it reconstructs the viewed/imagined content of never trained with/tested against brain signals. (Workpackage 3)

Eligibility

Applicants should have a first or upper second class honours degree in an appropriate subject and preferably a relevant Masters qualification. Applications from both UK and overseas students are welcome.

The studentship is supported for 3.5 years and includes full Home tuition fees, Bench fee plus a stipend of £20,780 per annum 2025/26 rate. The studentship will only fully fund those applicants who are eligible for Home fees with relevant qualifications. Applicants normally required to cover International fees will have to cover the difference between the Home and the International tuition fee rates. The international component of the fee may be waived for outstanding international applicants.

There is no additional funding available to cover NHS Immigration Health Surcharge (IHS) costs, visa costs, flights etc.

NB: The studentship is supported for 3.5 years of the four-year registration period. The subsequent 6 months of registration is a self-funded ‘writing-up’ period.

If you wish to discuss this project further informally, please contact Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk).

To apply for this position please click on the Apply button above.

Please clearly state the name of the studentship that you are applying for on your personal statement.

Please see here for a list of supporting documents to upload with your application.

For more information on the admissions process generally, please contact research.degree.admissions@plymouth.ac.uk

The closing date for applications is 12 noon on 28th March 2025. Shortlisted candidates will be invited for interview shortly thereafter. We regret that we may not be able to respond to all applications. Applicants who have not received a response within six weeks of the closing date should consider their application has been unsuccessful on this occasion.

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