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Majid Zamani

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1 month ago

PhD Positions in Black Futures Program and Brain Machine Interfacing at University of Southampton University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The Black Futures Scholarship provides £20,780 per year (tax free) for 3.5 years, full UK tuition fees, and a £1,200 training and support grant each year. Applicants with governmental funding are also encouraged to apply for PhD positions in brain machine interfacing.

Deadline

Feb 27, 2026

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Electronics Engineering
Fpga Design
Computational Modelling
Deeplearning
Machinelearning
- Neuroscience
Brain-computer Interfacing

About this position

The University of Southampton is offering fully funded PhD positions through the Black Futures Scholarship program and in the area of implantable brain machine interfacing. The Black Futures Scholarship is designed for talented Black and Mixed-Black heritage UK-domiciled students who wish to pursue a PhD at Southampton. The scholarship provides a tax-free stipend of £20,780 per year for 3.5 years, full UK tuition fees, and a £1,200 annual training and support grant. Applicants must be ordinarily resident in the UK, eligible for UK fees, and from specific Black or Mixed-Black backgrounds as defined by HESA.

In addition, Dr. Majid Zamani, Lecturer (Assistant Professor) and Lead of the BrainL∞p Research Lab, is seeking highly motivated PhD candidates with governmental funding to work on implantable brain machine interfacing. Candidates should have a master's degree in machine learning, electronics engineering, or neuroscience from a prestigious university, be proficient in deep learning techniques (such as CNN, Autoencoder, LSTM, GAN), and have strong programming skills in MATLAB and Python. Familiarity with digital hardware architectures, FPGA design, and experience in computational modelling and computational fluid dynamics (CFD) using COMSOL are also desirable. A high GPA (UK upper second-class honours or 2:1) and an IELTS certificate are required for entry into Electronics and Computer Science at Southampton.

To apply for the Black Futures Scholarship, identify a PhD project from the university's current offerings or propose your own, then apply online for both the PhD project and the scholarship scheme. For the brain machine interfacing position, send your CV and a one-page cover letter detailing your expertise to Dr. Zamani at [email protected]. The deadline for the Black Futures Scholarship is Friday, 27 February 2026. Early application is encouraged due to the competitive nature of the funding.

For more information, visit the University of Southampton's Black Futures Scholarship page or contact the Doctoral College at [email protected].

Funding details

The Black Futures Scholarship provides £20,780 per year (tax free) for 3.5 years, full UK tuition fees, and a £1,200 training and support grant each year. Applicants with governmental funding are also encouraged to apply for PhD positions in brain machine interfacing.

What's required

Applicants must have a master's degree in machine learning, electronics engineering, or neuroscience from a prestigious university, be proficient in deep learning techniques (CNN, Autoencoder, LSTM, GAN), and have strong programming abilities in MATLAB and Python. Familiarity with digital hardware architectures and FPGA design, as well as experience in computational modelling and computational fluid dynamics (CFD) using COMSOL, are preferred. A high GPA equivalent to UK upper second-class honours (2:1) and an IELTS certificate are required. For the Black Futures Scholarship, candidates must be UK-domiciled, eligible for UK fees, and from Black or Mixed-Black heritage backgrounds as defined by HESA.

How to apply

Identify a PhD project or create your own proposal. Apply online for your chosen PhD project and for the Black Futures Scholarship Scheme. For the brain machine interfacing position, email your CV and a one-page cover letter to [email protected]. Apply early as funding is competitive.

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