Neuromorphic-computing models and its applications
Neuromorphic-computing models are the ones that can simulate human brains architecture and connections. It is composed of large numbers of neurons and nonlinear connections. The developed deep neural network models can do reasoning, pattern recognition, making decisions automatically and information retrievals like human brains. It will be base for the next generation of artificial intelligence. The students with good knowledge on mathematics, computer science, artificial intelligence, data analysis and advanced programming skills in Python, Java, MATLAB will be desirable.
This is a self funded project
Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)