Postgraduate research project

High-bandwidth implantable brain processing: From theory to practice

Funding
Fully funded (UK and international)
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

We are 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.

he project has the following three objectives: 

  • design low-cost and highly reliable deep learning architectures suitable for real time and on-chip spike sorting
  • develop an on-chip processor integrable into the sensing module for real time behavioural decoding of different regions of the brain
  • 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.