[PhD scholarship] PhD position at Trinity College Dublin working on machine learning and functional neural imaging
Mimi ZHANG
Functional brain images measure changes in blood flow and oxygen levels, electrical signals, or metabolic processes, among other things. There are a number of imaging methods that provide useful, complementary windows onto human brain function: functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG), positron emission tomography (PET), etc. The Trinity College Institute of Neuroscience currently houses a Siemens 3T PRISMA MRI and an OPM-MEG scanner.
The objectives of this doctoral project are to (1) develop pioneering functional neural network architectures tailored to the fMRI and MEG neuroimaging modalities; (2) uncover mechanistic principles that link spatiotemporal brain dynamics to mental/cognitive functions; and (3) translate these principles into robust, interpretable, and generalisable functional markers. Ultimately, the functional markers will lay the foundations for clinically deployable tools that support stratification, prognosis, and treatment monitoring.
The scholarhip includes a stipend of €25,000 p.a. and fees write-down (EU or non-EU) for the four years (full-time) of a Structured PhD programme / research doctorate.
The minimum requirement is a 2.1 honors (or equivalent) undergraduate degree and a distinction (or equivalent) MSc degree. Candidates without an MSc or a lower grade degree will not be considered.
You will be supervised by Dr. Mimi Zhang (primary supervisor) and two other professors from the Trinity College Institute of Neuroscience.
More information can be found here: https://euraxess.ec.europa.eu/jobs/419775
Requirements
I only consider PhD candidates with a strong background in mathematics, statistics, or computer science (not computer engineering).