School of Computer Science,
The University of Adelaide, Australia
has a scholarship available for PhD students working
within the ARC Future Fellowship "Bio-inspired computing for problems with chance constraints".
Scholarships are for the duration of 3 years with a possible extension of 6 months.
There are no teaching duties, but students are able to take up additional paid casual teaching work during their candidature and get involved in teaching courses within Computer Science.
We are seeking an excellent candidate with a master or honours in computer science
mathematics, or statistics.
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, statistics and/or
computational complexity of bio-inspired computation are highly encouraged to apply.
Currently, around 20 researchers
from several nationalities work in the Optimisation and Logistics group.
The group collaborates with several of the major research
institutions in Europe and the U.S. and has high international visibility.
For more information, please visit http://cs.adelaide.edu.au/~optlog/
Applications (including curriculum vitae, IELTS test results, list of publications if
applicable, university transcripts, and names of two references with their
e-mail addresses) must be sent by email in PDF format with subject line
"PhD application: Bio-inspired computing for problems with chance constraints" to Prof Frank Neumann
(frank.neumann@adelaide.edu.au) by 15 March, 2022.
--------
Frank Neumann
Professor
Optimisation and Logistics
School of Computer Science
University of Adelaide, Australia
Adelaide, SA 5005
Australia
www.cs.adelaide.edu.au/~frank<http://www.cs.adelaide.edu.au/~frank>
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