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The Opportunity
This exciting new Research Fellow position will generate research relevant to the development of brain connectivity analysis methods, with a focus on Dynamic Causal Modelling (DCM), which is a framework for modelling neural circuitry (i.e. effective connectivity).
You will be part of an interdisciplinary team of researchers who develop and apply novel analysis methodology for inferring brain connectivity using multimodal neuroimaging. The appointee will coordinate development efforts as part of an Australian Research Council (ARC) Discovery Project awarded to Monash University (Dr Adeel Razi, Lead Investigator), University of Melbourne (Associate Professor Andrew Zalesky) and University College London (Professor Karl Friston).
Ideally we are seeking someone with an honours degree in Engineering, Mathematics, Physics, Computer Science, Psychology and a doctoral qualification (or close to completion) in Neuroscience, Biomedical Engineering or closely related field relevant to functional MRI.
If you have a programming ability in either MATLAB, Python or R, strong quantitative background and good knowledge of multimodal neuroimaging, we look forward to receiving your application.
This role is a full-time position; however, flexible working arrangements may be negotiated.
At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.
Your application must address the selection criteria. Please refer to
"How to apply for Monash Jobs".
Apply here: https://tinyurl.com/srpnuk5
Enquiries
Dr Adeel Razi, Senior Research Fellow, +61 3 9905 0109