PhD Studentship: High-bandwidth Implantable Brain Processing: From Theory to Practice
2 weeks ago
PhD Supervisor: Majid Zamani
Supervisory Team: Dr Majid Zamani
Project description:
I am looking for a talented and motivated PhD student to work on high-bandwidth implantable brain processing techniques (i.e. >1000 recording channels using Utah Arrays) for future generation implantable brain machine interfaces (iBMIs). The key challenge with high-bandwidth intracortical processing is associated with the overall computation cost, which demands a paradigm shift from conventional brain data processing approaches.
The project has the following three objectives:
- To design low-cost and highly reliable deep learning architectures suitable for real time and on-chip spike sorting.
- To develop an on-chip processor integrable into the sensing module for real time behavioural decoding of different regions of the brain.
- To validate the algorithms (simulation and fabricated) using the recorded and resynthesized in-vivo test data.
The candidate will have access to state-of-the-art laboratory facilities and collaborate with a strong multidisciplinary team of academics at University of Southampton and experts from University College London.
Person specifications:
- Master degree in machine learning, electronics engineering or neuroscience.
- Knowledge of deep learning architectures (such as CNN, LSTM, AE, GAN) is essential.
- Strong programming skills (MATLAB, Phyton) is essential.
- Previous experience on biomedical signal processing and classification.
- Excellent written and oral communication skills and ability to work independently.
About Dr Zamani:
Dr Zamani is a lecturer at the School of Electronics & Computer Science, University of Southampton. Before joining Southampton, he was a Postdoc at the UCL Electronic & Electrical Engineering. He has extensive experience in design and fabrication of novel designs in low-power and real-time processors for iBMI in different CMOS technologies.
How to apply:
Please ensure that you include Dr. Zamani's name as supervisor and the project title in your application. Please enclose the following documents:
- A one-page statement outlining suitability for the project.
- A two pages CV (including any publications and contact details of two referees).
- A research proposal describing how you would tackle this problem.
After discussing the project with Dr Zamani, eligible applicants should also submit a formal PhD application via the Southampton website, by clicking the Apply button, above. The supervisory team will arrange interviews for short-listed candidates.
Entry Requirements
A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).
Closing date: 31 August 2024.
Applications will be considered in the order that they are received, the position will be considered filled when a suitable candidate has been identified.
Funding: We offer a range of funding opportunities for both UK and international students, including Bursaries and Scholarships. For more information please visit PhD Scholarships | Doctoral College | University of Southampton Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered.
How To Apply
Apply online, by clicking the 'Apply' button, above.
Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select "PhD Computer Science (Full time)".
In Section 2 of the application form you should insert the name of the supervisor: Majid Zamani
Applications should include:
- Research Proposal
- Curriculum Vitae
- Two reference letters
- Degree Transcripts/Certificates to date
For further information please contact: feps-pgr-
Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered
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