Research Fellow in Deep Brain Stimulation for Epilepsy and Seizure Prediction

Exciting med-tech opportunity at the interface between academia and industry. We are seeking talented research scientists to join a team conducting a clinical trial of a fully implantable system for seizure forecasting and control with epilepsy patients. Requires experience in electrophysiology and neural signal analysis.

There are two Research Fellow positions available in our epilepsy research group for a new NHMRC research project titled Critical Slowing in Epilepsy. The research will quantify how the brain changes around times where it is susceptible to seizures. Seizure susceptibility will be studied using a new deep brain stimulation and recording system in a first in man clinical trial in partnership with the medical device company, Medtronic. There are also opportunities to study seizure susceptibility using the one-of-a-kind long-term continuous intracranial electroencephalography database obtained from the clinical trial of the Neurovista Seizure Advisory System.

At least one of the Research Fellows will be involved in all aspects of the Medtronic trial, from testing with patients to data analysis and reporting. Testing will involve measuring the interaction between the brain’s response to very small electrical stimuli and epilepsy-related changes.

Close date: 12 Mar 2017

Contact both Dr Levin Kuhlmann and Dr Dean Freestone for details. For a position description, selection criteria and to apply visit:
http://jobs.unimelb.edu.au/caw/en/job/890173/research-fellow-in-deep-brain-stimulation-for-epilepsy-and-seizure-prediction-2-positions

SCiNDU2 / NeuroEng 2017

SCiNDU2: The Second Systems and Computational Neuroscience DownUnder conference.
Joint meeting with NeuroEng 2017: The 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience

www.qbi.uq.edu.au/scindu

Dec 13-15th 2017
Queensland Brain Institute
The University of Queensland

Confirmed international speakers:

Polina Anikeeva
Daphne Bavelier
Kwabena Boahen
Tobias Bonhoeffer
Rosa Cossart
Kenji Doya
Alex Pouget
Rafael Yuste

Other speakers to be announced. Further details will be posted on www.qbi.uq.edu.au/scindu as they become available.

Contact: Geoff Goodhill, University of Queensland

Monash Symposium on Computational Neuroscience

Computational neuroscience is an interdisciplinary field that harnesses concepts and methods from physics, maths, computer science, neuroscience and psychology to address fundamental questions about brain organisation and function. This symposium brings together leading Australian and international researchers to present their latest work on mathematical modelling of brain structure and function, mapping and modelling how disease affects the brain, and how coordinated brain function gives rise to perception and cognition.
The event, sponsored by the Monash Institute of Cognitive and Clinical Neurosciences (MICCN), in partnership with the Australian Research Council Centre of Excellence for Integrative Brain Function (CIBF) and the Cooperative Research Centre for Alertness, Safety and Productivity (Alertness CRC), presents students working in all domains of science, as well as the general public, with the opportunity to engage with experts working in this exciting and rapidly developing field.

Time:
Fri, Feb 3, 2017, 9:30-5:00

Venue:
Monash Biomedical Imaging Auditorium
770 Blackburn Rd
Clayton Vic 3800

International speakers:
Prof Gustavo Deco (Pompeu Fabra University, Spain)
Prof Alex Thiele (Newcastle University, UK)

Australian speakers:
Professor Michael Breakspear, QIMR Berghofer Medical Research Institute; CIBF
Professor Peter Robinson, The University of Sydney; CIBF; Alertness CRC
Associate Professor Alex Fornito, Monash University, MICCN; CIBF
Associate Professor Nao Tsuchiya, Monash University, MICCN; CIBF
Associate Professor Jeroen van Boxtel, Monash University, MICCN
Dr Marta Garrido, Queensland Brain Institute; CIBF
Dr Andrew Phillips, Monash University, MICCN; Brigham and Women’s Hospital and Harvard
Medical School, Boston
Dr Nicholas Price, Physiology, Monash University
Dr Andrew Zalesky, Melbourne Neuropsychiatry Centre, University of Melbourne

Registration is free but compulsory to allow for appropriate catering. Register at:
https://www.eventbrite.com.au/e/miccn-computational-neuroscience-symposium-2017-tickets-29089845511

___________________________________

Alex Fornito

Associate Professor
Brain & Mental Health Laboratory
Monash Institute of Cognitive
& Clinical Neurosciences

NeuroEng 2016: 9th Australasian Workshop on Neuro-Engineering and Computational Neuroscience

Brisbane, Australia
28 – 29 November 2016

Plus an optional short course:
‘Deep Learning: An Introduction for Neuroscientists and Modellers’ on 30 November

Abstract submission now open: http://conference.qimrberghofer.edu.au/page/NeuroEng/

Venue: QIMR Berghofer Medical Research Institute, 300 Herston Rd, Herston, QLD, Australia

Bringing together researchers at the interfaces between neuroscience, engineering, physics, and psychiatry.
Topics include:   Continue reading

Postdoctoral Research Associate in Neurophysics and Brain Dynamics

ARC Centre of Excellence for Integrative Brain Function
School of Physics
Reference no. 1100/0616

  • Up to 3 positions studying multiscale, emergent, nonlinear, and critical phenomena in the brain
  • Full-time, fixed term for three years, with further offers available subject to performance, funding and need remuneration package: up to $112K pro rata p.a. which includes leave loading and up to 17% super)
  • The opportunity to work in the Brain Dynamics Group

Employment Link

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Positions at USyd (2x PhD scholarships, 1x B/C Academic staff)

A number of positions are currently available with the Complex Systems Research Group (led by Prof. Mikhail Prokopenko) in the Faculty of Engineering and IT at The University of Sydney:

1. Two PhD scholarships are available to study with Dr. Joseph Lizier in an ARC DECRA funded project. Both projects involve studying the relationship between network structure and dynamics, using information theory, with applications to neural data sets:
a. “Inferring information network structure from dynamics” — http://bit.ly/1SZdnim
b. “Describing network and information processing co-development” — http://bit.ly/24mp8Vq
Please contact Dr. Lizier with any questions. There is some flexibility in the closing date for applications (currently May 22).

2. One (3 year term) Lecturer / Senior Lecturer in Complex Systems (Level B/C) is also currently open for applications until May 8 — http://bit.ly/1qpMI1j
Research areas relating to information theory and complex networks theory will be prioritised.
Please contact Prof. Prokopenko or Dr. Lizier with any questions.

International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013)

http://www.neucomp2013.org/
Friday March 22, 2013, Grenoble, France
held in conjunction with DATE’13 conference (http://www.date-conference.com)

Biological neural systems are well known for their robust and power-efficient operation in highly noisy environments. Biological circuits are made up of low-precision, unreliable and massively parallel neural elements with highly reconfigurable and plastic connections.
Two of the most interesting properties of the neural systems are its self-organizing capabilities and its template architecture. Recent research in biologically-plausible neural networks has demonstrated interesting principles about learning and neural computation. Understanding and applying these principles to practical problems is only possible if large-scale neural simulators or circuits can be constructed. This workshop will outline key modelling abstractions for the brain and focus on recent neural network models. Aspects of neuronal processing and computational issues related to modelling these processes will be discussed. Hardware and software solutions readily usable by neuroscientists and computer scientists and efficient enough to construct very large networks comparable to brain networks will be presented.
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Invitation to NeuroEng 2013: 6th Australian Computational Neuroscience Workshop

Dear All,

I am writing to invite you to NeuroEng 2013, the 6th Australian Computational Neuroscience Workshop, which our group is hosting in Melbourne. The meeting will begin with informal drinks on the evening of 29 January 2013 followed by two days of scientific presentations over 30-31January 2013 at the University of Melbourne.

Please see the NeuroEng2013 Flyer for more information.

NeuroEng 2013 aims to bring together researchers in Australia who are working at the interface between neuroscience and engineering, including researchers working in mathematical and computational neuroscience, neural modelling, neuroimaging, EEG analysis, neuromorphic engineering, and neuroprostheses.

NeuroEng 2013 is the sixth in the series to be held in Australia (previous Workshops are listed here: http://neuroeng.org.au/wordpress/auscompneuro-workshops/). We have timed the meeting to coincide with the Australian Neuroscience Society Conference (ANS 2013), which is also in Melbourne next year on 3-6 February (http://ans2013.org).

Key Dates:
One-page Abstract Submission Deadline:  31 October 2012
Notification of Acceptance:  30 November 2012
Early-Bird Registration Deadline: 16 December  2012
Conference Dates: 30-31 January 2013
Website: http://neuroeng.unimelb.edu.au/neuroeng2013

Please disseminate this announcement as widely as possible in your group and beyond.

Best regards, David

David B Grayden BE(Hons) BSc PhD
Associate Professor and Reader
Director, NeuroEngineering Laboratory, Dept. Electrical & Electronic Engineering
Deputy Head (Academic), Dept. Electrical & Electronic Engineering
Academic Coordinator, Biomedical Engineering
Laboratory Leader, Bionics Laboratory, Centre for Neural Engineering

NeuroEngineering Laboratory
Department of Electrical & Electronic Engineering
Melbourne School of Engineering
The University of Melbourne, Victoria 3010 Australia
Dept WWW http://www.ee.unimelb.edu.au
Lab WWW http://neuroeng.unimelb.edu.au