Developing imaging and neuro-technologies for decoding memory formation

The brain is a complex network that underlies our thoughts and actions. Uncovering how it operates is fundamental for improving performance, treating disorders and developing the next generation of artificial intelligence. Our recent studies have demonstrated the potential of functional magnetic resonance imaging (fMRI) in locating network hubs that are causal for memory formation.
 
This project will further pinpoint specific cell types, activity patterns, and connections that mediate memory formation using novel imaging and computational techniques. We will develop a brain simulator to understand how modulating network hubs alters brain network activity and memory formation. This will be used to design new ways to enhance memory by modulating brain networks.
 

The lab has established cutting-edge techniques for brain imaging and genetic tools for manipulating brain networks. You will learn advanced imaging and analytical techniques including fMRI, calcium imaging, optogenetics, artificial neural network and brain network simulation. The project will collaborate with a leading lab in France on brain simulation. The student will have the opportunity to get training in the collaborator lab.

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

You must contact the principal supervisor for this project to discuss your interest. You should only complete the online application after you have reached agreement on supervision.

Always make sure you are approaching your potential supervisor in a professional way. We have provided some guidelines for you on how to contact a supervisor.

Your application will be assessed on a competitive basis.

We take into account your:

• previous academic record
• publication record
• honours and awards
• employment history

You will demonstrate academic achievement in the field/s of biomedical/electrical engineering, computer science, biological science, medicine or relevant field and the potential for scholastic success.

A background or knowledge of fMRI, programming language and artificial neural network is highly desirable.

To be considered for this scholarship, please email the following documents to Associate Professor Kai-Hsiang Chuang (k.chuang@uq.edu.au):

• Cover letter
• CV
• Academic transcript/s
• Evidence for meeting UQ's English language proficiency requirements eg TOEFL, IELTS

Please note the following: Submitting the above documents does not constitute a full application for admission into The University of Queensland's PhD program. If you are selected as the preferred applicant, you will then be invited to submit a full application for admission. You can familiarise yourself with the documents required for this process on the UQ Study website.