Machine Learning for Neuroscience

We will be using Artificial Intelligence and Machine Learning algorithms to understand how different part of the brain are connected to each other to process information. We will develop computational models to characterise brain dynamics and then test those models using empirical measurements coming from functional and diffusion MRI. Students with background in Electrical/Electronic/Biomedical Engineering, Computer Science, Physics and Applied Mathematics are welcome to make inquiries. The successful applicant will work under the mentorship of Associate Professor Adeel Razi (primary advisor) and will also have an opportunity to spend time in lab(s) of our international collaborators. There is generous funding available to attend/present at international and local conferences every year.