Two postdoc positions in neuro-engineering / computational neuroscience are available at the University of Melbourne. The details are below and the closing date for both positions is 24th February.
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Position 1: Computational neural modelling of synaptic plasticity associated with reward reinforcement
Link to position: http://go.unimelb.edu.au/up2n
RESEARCH FELLOW
Position no.: 0032727
Employment type: Full-time Fixed Term
Campus: Parkville
Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne Australia
Salary: Level A $61,138* - $82,963 p.a. (*PhD entry Level A.6 $77,290 p.a.) or Level B $87,334 - $103,705 p.a., plus 9.25% superannuation. The level of appointment is subject to the appointee's research record, qualifications and experience.
We are seeking a talented and dedicated candidate to join the Melbourne School of Engineering, one of Australia's leading engineering schools, as a postdoctoral research fellow. This position is part of a newly funded ARC Discovery project to develop models of synaptic plasticity in the brain through mathematical analysis and computational simulation. In this project, models of synaptic plasticity associated with reward reinforcement will be used to develop "plasticity targeted" techniques for improved brain-machine interfaces (also called brain-computer interfaces).
To be successful in this position, you will have a PhD in a discipline relevant to neural engineering or computational neuroscience (including physics and mathematics). You will have a solid skill set in mathematical and computational modelling and algorithm development, preferably applied to neuroscience, and a strong publication track record. Excellent written and oral communication skills and the ability to work both independently and as part of a team are essential. This position will be based in the Neuroengineering Laboratory in the Department of Electrical and Electronic Engineering at the University of Melbourne. There is the opportunity for collaboration with a wide range of biomedical engineers, electrophysiologists, and clinicians who are associated with the research programs in the Neuroengineering Laboratory.
You must be able to demonstrate clearly an ability to perform independent research. Excellent written and verbal communication skills are essential. Research expertise in the area of neural modelling will be advantageous but not essential. The position is open to both national and international applicants. The position will commence in 2014 for a period of up to 3 years.
Close date: 24 February 2014
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Position 2: Neural modelling of advanced retinal stimulation methods
Link to position: http://go.unimelb.edu.au/op2n
RESEARCH FELLOW
Position no.: 0032823
Employment type: Full-time Fixed Term
Campus: Parkville
Department of Electrical and Electronic Engineering Melbourne School of Engineering The University of Melbourne Australia
We are seeking a talented researcher to join the Melbourne School of Engineering, one of Australia's leading engineering schools, as a postdoctoral research fellow. This position is part of a newly funded ARC Discovery project to develop advanced stimulation methods for a retinal implant to restore a sense of vision to people with degenerative or inherited retinal disease. The project will build on substantial previous research undertaken by Bionic Vision Australia (BVA), which is a partnership of world-leading Australian researchers collaborating to develop an advanced retinal implant.
To be successful in this position, you will have a PhD in a discipline relevant to neural engineering or computational neuroscience. You will have a solid skill set in mathematical and computational modelling and algorithm development, preferably applied to neuroscience, and a strong publication track record. Excellent written and oral communication skills and the ability to work both independently and as part of a team are essential. This position will be based in the Neuroengineering Laboratory in the Department of Electrical and Electronic Engineering at the University of Melbourne, working with a team of neural engineers and retinal electrophysiologists to develop algorithms for improving the spatial resolution offered by retinal implants.
You must be able to demonstrate clearly an ability to perform independent research. Excellent written and verbal communication skills are essential. Research expertise in the area of neural modelling will be advantageous but not essential. The position is open to both national and international applicants. The position will commence in 2014 for a period of up to 3 years.
Close date: 24 February 2014
Professor Anthony N. Burkitt
Chair of Bio-Signals and Bio-Systems
NeuroEngineering Laboratory
Department of Electrical and Electronic Engineering Centre for Neural Engineering, Building 261, 203 Bouverie St
Melbourne School of Engineering
The University of Melbourne, Victoria 3010 Australia
T: +61 3 9035 3552 І M: +61 4 22 960 880 І F: +61 3 9035 3002 І E: aburkitt@unimelb.edu.au
W: www.eng.unimelb.edu.au І www.neuroeng.unimelb.edu.au
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