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<p>-------- Forwarded Message --------</p>
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<td>[DMANET] Postdoc position (up to 4 years) in the area of
Evolutionary Computation at The University of Adelaide,
Australia</td>
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<td>Tue, 22 Feb 2022 02:40:52 +0000</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Frank Neumann <a class="moz-txt-link-rfc2396E" href="mailto:frank.neumann@adelaide.edu.au"><frank.neumann@adelaide.edu.au></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:DMANET@zpr.uni-koeln.de">DMANET@zpr.uni-koeln.de</a> <a class="moz-txt-link-rfc2396E" href="mailto:DMANET@zpr.uni-koeln.de"><DMANET@zpr.uni-koeln.de></a></td>
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<br>
<br>
The Optimisation and Logistics group at the<br>
<br>
School of Computer Science,<br>
The University of Adelaide, Australia<br>
<br>
has an open fixed Term position for up to 4 years.<br>
(Level A) $89,610 to $96,007 per annum plus an employer
contribution of up to 17% superannuation may apply.<br>
<br>
This is a position for a postdoctoral researcher working on
bio-inspired computing for problems with chance constraints.<br>
<br>
We are seeking an excellent postdoctoral researcher with a PhD in
computer science, mathematics, or related field. The successful
applicant should carry out theoretical or applied work on
evolutionary algorithms, ant colony optimisation, and related
bio-inspired computing methods for problems with stochastic
constraints.<br>
<br>
Candidates having experiences in the field of randomised methods
and/or computational complexity of bio-inspired computation are
highly encouraged to apply.<br>
<br>
The postdoctoral researcher will be part of the Optimisation and
Logistics group led by Professor Frank Neumann. Currently, around
20 researchers from several nationalities work in the Optimisation
and Logistics group. The group carries out leading international
research work in the area of artificial intelligence and
evolutionary computation and has strong international
collaborations with leading research groups in Australia, Europe
and the US. A generous travel support for the attendance of
internationally leading conference and international
collaborations will be available to the successful applicant.<br>
<br>
To be successful you will need:<br>
• A PhD in Computer Science, Mathematics or related field.<br>
• Strong publication track record on evolutionary computation at
leading international conferences such as AAAI, GECCO, IJCAI, and
PPSN.<br>
• Background on optimisation of problems with stochastic
constraints.<br>
• Demonstrated experience in supporting a research team by
contributing to the mentoring of PhD and graduate/undergraduate
students.<br>
• Commitment to the principles of equity, diversity and inclusion,
and ability to contribute to the diversity of the School
community.<br>
<br>
<br>
<br>
Applications close 11:55pm, 19 March 2022<br>
<br>
More information at:
<a class="moz-txt-link-freetext" href="https://careers.adelaide.edu.au/cw/en/job/507143/internal-grantfunded-researcher-a">https://careers.adelaide.edu.au/cw/en/job/507143/internal-grantfunded-researcher-a</a>><br>
<br>
<br>
--------<br>
Frank Neumann<br>
Professor<br>
Optimisation and Logistics<br>
School of Computer Science<br>
University of Adelaide, Australia<br>
Adelaide, SA 5005<br>
Australia<br>
<a class="moz-txt-link-freetext" href="http://www.cs.adelaide.edu.au/~frank">http://www.cs.adelaide.edu.au/~frank</a>><br>
<br>
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