<p>You are about to enter the B. Braun Melsungen AG (global) website. If you are from United States, visit the U. S. Website</p>

United States - B. Braun Medical Inc.

Global - B. Braun Melsungen AG

<p>Not all products are registered and approved for sale in all countries or regions. Indications of use may also vary by country and region. Please contact your country representative for product availability and information. Product images are for reference only.</p>

You have successfully logged out.

Welcome to the CNS Lab Fellowship

Computational Neurosurgery Fellowship

I am glad to introduce to you the first Computational NeuroSurgery (CNS) Fellowship in the World, a novel fellowship aimed to forge the neurosurgeon of the future.

Professor Antonio Di Ieva

Macquarie Neurosurgery, Head of the Computational NeuroSurgery (CNS) Lab

Background information

This 1-year long fellowship, which is partly funded by a grant from B. Braun, will enable a senior neurosurgery resident or specialist to gain translation expertise in computational modelling and Artificial Intelligence applied to the clinical neurosciences, for a comprehensive study of the brain and diseases of neurosurgical interest. The fellow will be involved in one or more research projects in the new Computational NeuroSurgery field at the CNS Lab of the Macquarie University (Sydney, Australia), in a new vibrant environment with neurosurgeons, clinical and computational neuroscientists, engineers, computer scientists, mathematicians, cognitive neuroscientists, and more. Hybrid positions – research and clinical/surgical fellowship – will be considered for eligible fellows accredited with the Australian Health Practitioner Regulation Agency.

The application must include

A statement defining the purpose of the proposed fellowship
The applicant’s current curriculum vitae, including titles, surgical and research experience, and the publications’ track record

Essential criteria

Specialisation in neurosurgery or proof of neurosurgical training in progress
Proven track record with peer-reviewed publications
Excellent command of scientific writing in English

Desirable

Ph.D.
Experience with statistical analysis, machine learning, computer science
Expertise in neuroimaging, neuropathology and/or other translational fields

General enquires:

Professor Antonio Di Ieva

antonio.diieva@mq.edu.au

https://www.goto.mq.edu.au/bm

The application should be emailed to:

CNSLab@mq.edu.au