[Job-offers-cs] Postdoc position (up to 4 years) in the area of Evolutionary Computation at The University of Adelaide, Australia

Pekka Orponen pekka.orponen at aalto.fi
Sun Apr 3 17:17:59 EEST 2022


-------- Forwarded Message --------

Subject: 	[DMANET] Application Deadline 16 April 2022: Postdoc position 
(up to 4 years) in the area of Evolutionary Computation at The 
University of Adelaide, Australia
Date: 	Mon, 21 Mar 2022 08:56:39 +0000
From: 	Frank Neumann <frank.neumann at adelaide.edu.au>
To: 	DMANET at zpr.uni-koeln.de <DMANET at zpr.uni-koeln.de>



The Optimisation and Logistics group at the

School of Computer Science,
The University of Adelaide, Australia

has an open fixed Term position for up to 4 years.
(Level A) $89,610 to $96,007 per annum plus an employer contribution of 
up to 17% superannuation may apply.

This is a position for a postdoctoral researcher working on bio-inspired 
computing for problems with chance constraints.

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.

Candidates having experiences in the field of randomised methods and/or 
computational complexity of bio-inspired computation are highly 
encouraged to apply.

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.

To be successful you will need:
• A PhD in Computer Science, Mathematics or related field.
• Strong publication track record on evolutionary computation at leading 
international conferences such as AAAI, GECCO, IJCAI, and PPSN.
• Background on optimisation of problems with stochastic constraints.
• Demonstrated experience in supporting a research team by contributing 
to the mentoring of PhD and graduate/undergraduate students.
• Commitment to the principles of equity, diversity and inclusion, and 
ability to contribute to the diversity of the School community.



Applications close 11:55pm, 16 April 2022

More information at: 
https://careers.adelaide.edu.au/cw/en/job/507143/internal-grantfunded-researcher-a

--------
Frank Neumann
Professor
Optimisation and Logistics
School of Computer Science
University of Adelaide, Australia
Adelaide, SA 5005
Australia
http://www.cs.adelaide.edu.au/~frank


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