[DMANET] Supernetwors and optimization - Research Position

Research Associate – Academic Level A or B
School of Electrical Engineering and Computer Science

This position is within the Centre for Bioinformatics, Biomarker Discovery and Information-based Medicine
(CIBM) under the direct supervision of Professor Pablo Moscato, CIBM's Co-Director.

Brief description of the project

Supernetworks are built "above and beyond" existing networks. In bioinformatics they arise from the
integration of a set of networks with different types of nodes and edges. While large companies and
governments have already understood the importance of decision problems in supernetworks,
the power of this perspective has not yet been exploited in the Life Sciences. The successful candidate
will develop a research program that, using supercomputer-based approaches together with memetic
algorithms, will address the first key areas that will lead to smart information use of existing networks
and the supernetworks that can be generated by integration of in distributed databases.

In particular, the work will be conducted to develop state-of-the-art algorithms for problems in the key areas
of network alignment, identification of connected-cohesive subnetworks (and other community detection
algorithms) and embedding large graphs in multi-planar structures (i.e. developing algorithms for variants of
the book embedding problem in graphs).

The Priority Research Centre of Bioinformatics, Biomarker Discovery and Information Based Medicine (CIBM),
conducts research in areas such as multi-objective optimization, evolutionary computation, bioinformatics,
machine learning, combinatorial optimization, metaheuristics, memetic algorithms, computer vision, to
mention a few, with applications in analysis of biological data and healthcare.

The University of Newcastle is one of Australia's leading universities - an exceptional achiever in research
according to its size and it has an international reputation for expertise in innovative approaches to teaching
and learning. On December, 2012, the University was assessed in 49 four digit fields of research with 90% of
our codes being rated at world standard ("3") or above. A total of 18 of those received the maximum score of
'5' indicating that they were 'well above world standard'.

This position is available on a fixed-term basis for three years supported by an ARC Discovery Project
and is aimed at producing outcomes in relation to this project. Women are particularly encouraged to apply
as they are under-represented in the School's/Faculty's academic profile

To apply, please visit
https://hronline.newcastle.edu.au/pls/alesco/WK8127$VAC.QueryView?P_VACANCY_REF_NO=2364

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