Job No.: 615267
Location: Clayton campus
Employment Type: Full-time
Duration: 3-year fixed-term appointment
Remuneration: The successful applicant will receive a tax-free stipend, at current value of $29,000 per annum 2020 full-time rate, as per the Monash Research Training Program (RTP) Stipend https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details
Everyone needs a platform to launch a satisfying career. At Monash, we give you space and support to take your career in all kinds of exciting new directions. In this role, you’ll have access to quality research, infrastructure and learning facilities, in addition to opportunities for national and international collaborations. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.
The Opportunity:
This exciting new PhD position will generate research relevant to the development of brain connectivity analysis methods, with a focus on Network Neuroscience, Machine Learning, Bayesian Inference, and Dynamic Causal Modelling (DCM) – which is a framework for modelling neural circuitry (i.e. effective connectivity).
The “Computational and Systems Neuroscience Laboratory” is headed by Associate Professor Adeel Razi. Our Lab is part of the “Brain Mapping and Modelling” Research Program of the Turner Institute of Brain and Mental Health. Our research vision is to perform cross-disciplinary research combining engineering, physics, and machine-learning approaches to answer questions that are motivated by and grounded in neurobiology. This will enable us to go beyond the traditional boundaries in order to understand how does the brain implement cognition. Our research program’s priority areas include:
Further details about our research program and peer-reviewed work is available from: www.adeelrazi.org/
We are seeking a highly motivated candidate with a Bachelor’s (honours) or Master’s degree in Engineering, Mathematics, Physics, Computer Science, Quantitative Psychology and, ideally, with interest or previous expertise in either Neuroscience, Biomedical Engineering, or closely related field relevant to functional MRI. We particularly encourage applications by candidates with programming ability in either MATLAB, Python or R, and strong quantitative background.
You will be part of an interdisciplinary team of researchers and carry out original research 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). The successful applicant(s) will work under the supervision of Associate Professor Adeel Razi and the co-supervision of Dr Leonardo Novelli and will be located at the Monash Biomedical Imaging (MBI), Clayton Campus. Monash Biomedical Imaging is also the home to the ARC Centre of Excellence in Integrative Brain Function. The candidate will also have an opportunity to spend time in our international collaborators’ labs, and there is generous funding available to attend/present at conferences every year. The University will also provide full access to facilities, shared office space, and a laptop computer.
The ideal start date is April 2021 or as soon as possible thereafter.
Knowledge and Skills
If this sounds like a position that suits your current career focus, we look forward to hearing from you.
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.
How to apply
For general instructions on how to apply for roles at Monash, please refer to "How to apply for Monash Jobs".
Enquiries
Associate Professor Adeel Razi, Email: adeel.razi@monash.edu, Phone: + 61 3 9905 0109
Closing Date
Monday 15 March 2021, 11:55pm AEDT
In your application, please refer to Professorpositions.com