Connectionists: Postdoc/PhD in systems neuroscience and complexity at Uni of Sydney

[Joseph Lizier]

Dear all,

We would like to advertise 1x Postdoc and 1x PhD position in Systems Neuroscience and Complexity at The University of Sydney.

The successful candidates will join a dynamic interdisciplinary collaboration between A/Prof Mac Shine<http://www.jamesmacshine.com/> (Brain and Mind Centre), A/Prof Joseph Lizier<http://lizier.me/joseph/> (School of Computer Science) and Dr Ben Fulcher<http://www.benfulcher.com/> (School of Physics), within the University's Centre for Complex Systems, focused on advancing our understanding of brain function and cognition using cutting-edge computational and neuroimaging techniques at the intersection of network neuroscience, dynamical systems and information theory.
The positions are funded by a grant from the Australian Research Council "Evaluating the Network Neuroscience of Human Cognition to Improve AI".

Post-Doctoral Fellow in Systems Neuroscience and Complexity<https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Post-Doctoral-Fellow-in-Systems-Neuroscience-and-Complexity_0114249-1>: Full time, research only fixed term position for 24 months.
Lead supervisor: A/Prof. Mac Shine
The Postdoc will process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. The successful candidate will hold a PhD in Neuroscience, Computational Neuroscience, Psychology, or a related field (by July 2024); have a strong background in computational modelling and/or functional neuroimaging techniques; and proficiency in programming languages commonly used in neuroscience research (e.g., Python, MATLAB).

PhD scholarship: Characterising information flow networks across brain regions in rest and task<https://lizier.me/joseph/phdprojects.html#infoflowneuro>: available to both domestic and international applicants for 3.5 years (fulltime), providing the tuition fees and a stipend.
Lead Supervisor: A/Prof. Joseph Lizier
The PhD student will conduct applications of, and/or updates to algorithms for, inferring brain network models to represent information flow relationships between brain regions (via information-theoretic measures), based on time-series neural recordings. The successful candidate will hold a Bachelor's degree with honours or Master's degree in a relevant quantitative field (e.g. computer science, physics, mathematics), including completing a research thesis (first-class honours equivalent results are essential); and excellent skills in computational numerical analysis (in Python and/or Matlab) and in applied mathematics.

For further details and how to apply, see the links above for both positions.
Deadline Feb 28 (PhD position open until filled)

--joe
--
A/Prof. Joseph Lizier
The University of Sydney
School of Computer Science, Faculty of Engineering

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