Connectionists: Post-doc positions at University of Melbourne

[Anthony Burkitt]

Four positions are available in the Department of Electrical and
Electronic Engineering at the University of Melbourne. Three of these
positions are in the "Bionic Eye" (retinal implant) project of Bionic
Vision Australia (www.bioinicvision.org.au) and the fourth is in the
Neuro-engineering Group (www.neuroeng.unimelb.edu.au).  

The three Bionic Eye positions are in the Stimulation Strategy
Development Program, whose goal is to develop algorithms for
transforming the visual scene into patterns of electrical stimulation on
the electrodes of the implanted retinal electrode array.  Computational
models will be used to develop suitable stimulation algorithms required
to create and control excitation patterns in retinal ganglion cells and
the visual cortex. These studies will assist in investigating aspects of
neural stimulation that are difficult or impossible to investigate
experimentally. 

The fourth Neuro-Engineering position is in mathematical and
computational neuroscience. The project involves an analysis of both the
network activity and the network structure that results from this
activity through spike-dependent learning. The methods of dynamical
systems theory and control theory will be used to study both the spiking
activity and emergent network structure.  The project will also
investigate signal processing performed within neural circuits, such as
the auditory brainstem.

Melbourne is one of the most liveable cities in the world (currently
rated number three in the Economist's list of the World's Most Liveable
Cities 2010) and has a long established international reputation for
excellence in biomedical research (along with London and Boston, it is
one of only three cities in the world with two universities in the
global top 20 biomedicine rankings).

The positions are:

- Job No. 0023796: A research position in the development of a
3-dimensional finite-element (FE) model of the eye that will be used to
model the response of the retina to electrical stimulation. Appointment
at Level B (AUD$73,863 - 87,710 p.a.) or Level C (AUD$90,480 - 104,329
p.a.) plus employer superannuation contributions of 9%. Position details
are contained on the following website, where the Position Description
pdf-document can also be obtained:  http://tinyurl.com/PN0023796).
Closing date is 7 June 2010.

- Job No. 0023805: A research position in the development of signal
processing strategies for a high-resolution retinal prosthesis.
Appointment at Level B (AUD$73,863 - 87,710 p.a.) or Level C (AUD$90,480
- 104,329 p.a.) plus employer superannuation contributions of 9%.
Position details are contained on the following website, where the
Position Description pdf-document can also be obtained:
http://tinyurl.com/PN0023805). Closing date is 7 June 2010.

- Job No. 0023804: A research position in programming and building
computational models of electrical stimulation of the retina and
electrical stimulation algorithms. Appointment at Level A (AUD$51,707 -
70,167 p.a.) plus employer superannuation contributions of 9%. Position
details are contained on the following website, where the Position
Description pdf-document can also be obtained:
http://tinyurl.com/PN0023804). Closing date is 7 June 2010.

- Job No. 0023729: A research position in mathematical and computational
neuroscience. This is a Level A (AUD$51,707 - 70,167 p.a.) or Level B
(AUD$73,863 - 87,710 p.a.) position. Position details are contained on
the following website, where the Position Description pdf-document can
also be obtained: http://tinyurl.com/PN0023729). Closing date is 31 May
2010.

For further information contact Tony Burkitt (aburkitt at unimelb.edu.au).

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Professor Anthony N. Burkitt
Director, Bionic Vision Australia
Chair of Bio-Signals and Bio-Systems
Dept of Electrical & Electronic Engineering
The University of Melbourne 
Victoria 3010 
Australia

Email:  aburkitt at unimelb.edu.au
http://www.ee.unimelb.edu.au/people/aburkitt/
Phone: +61 3 8344 9725
Fax:   +61 3 8344 7412
Building: 193   Room: 3.3
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