PhD Studentship UK: The University of Southampton is offering a PhD studentship to work on high-bandwidth implantable brain processing techniques for next-generation implantable brain-machine interfaces (iBMIs).
Summary of PhD Studentship UK: High-bandwidth Implantable Brain Processing
| Field | Information |
|---|---|
| Job Title | PhD Studentship UK |
| University | University of Southampton |
| Location | Southampton, UK |
| Funding | Funded (For UK, EU, and International Students) |
| Employment Type | Full Time PhD research position |
| Closing Date | August 31, 2024 |
Project Description
This project aims to develop new methods for processing high-bandwidth brain signals recorded using Utah Arrays with over 1000 channels. The traditional data processing approaches are not suitable for this amount of data, so the project requires a new approach.
The project has three main objectives:
- Design low-cost and reliable deep learning architectures for real-time spike sorting directly on the implant chip.
- Develop an on-chip processor to be integrated with the sensing module for real-time decoding of brain activity from different brain regions.
- Validate the developed algorithms using simulations and real-life test data.
PhD Studentship UK Funding
The studentship is funded and open to UK, EU, and international students. Funding will be awarded on a rolling basis, so applying early is recommended.
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PhD Studentship Person Specifications
- Master’s degree in machine learning, electronics engineering, or neuroscience.
- Strong knowledge of deep learning architectures (CNN, LSTM, AE, GAN).
- Excellent programming skills in MATLAB and Python.
- Experience with biomedical signal processing and classification.
- Strong written and oral communication skills.
- Ability to work independently.
How to Apply For PhD Studentship UK
- Submit an application through the University of Southampton website.
- Include the following documents in your application:
- A one-page statement explaining your suitability for the project.
- A two-page CV with publications and contact details of two referees.
- After discussing the project with Dr. Zamani, eligible applicants should submit a formal application through the university website.
Important Dates
- Closing date for applications: August 31, 2024
- Applications will be reviewed on a rolling basis, and the position will be filled once a suitable candidate is found.
Contact Information
For further information, please contact feps-pgr-apply@soton.ac.uk
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