[Opt-net] post doc position invitation (from andy.eb@rmit.edu.au)

[optnet]

The "System Modelling and Optimization" research group at the Royal
Melbourne Institute of Technology, Australia, is inviting applications
for a


POSITION AS A RESEARCH FELLOW


within the research project "New Theory and Algorithms for Nonsmooth
Optimization with Application to Integer Programming" funded by the
Australian Research Council. To apply, you should currently hold, or be
nearing completion of your PhD. The position start date is flexible and
can be negotiated to suit the successful applicant. The length of the
appointment is 12-18 months, depending on the level of appointment.
Applications are due to be submitted by 15th June 2009.

Applicants should have research experience in some area of mathematical
programming, but preferably in one of integer programming, discrete
optimization, nonsmooth optimization, or global optimization.

The research will be carried out in collaboration with and under the
supervision of the Prof. Andrew Eberhard (RMIT), Prof. Natashia Boland
(Newcastle Uni.) and Laureate Prof. Jon Borwein (Newcastle Uni.).
Despite being based at RMIT the successful candidate will be encouraged
to engage in research with both the RMIT and Newcastle research groups
involved in this project.

The primary aim of this project is to study mathematical optimization
methods that underpin many scheduling and planning activities in
business and industry, and play numerous "behind-the-scenes" roles in
engineering, medicine, biology, and physics. This project aims to
exploit the links between nonsmooth optimization and integer programming
in order to enable the development of new theory and methodologies for
the solution of discrete optimization problems. The project will also
seek to improve the mathematical basis and tools for the application of
nonsmooth analysis to the study of optimality and the study of
convergence of algorithms.

The appointee will contribute to the development of the theory,
algorithms and software needed in this project. Experience in
implementation and the numerical testing of optimization algorithms is
essential. Familiarity with the callable libraries of one of Cplex,
Xpress-MP or similar optimization platform is desirable but not essential.

RMIT is a global university of technology based in Melbourne, with a
commitment to and reputation for high quality professional and
vocational education and research engaged with industry and community.
Melbourne is the capital city of Victoria and is large vibrant city
which is one of the cultural centres of Australia. It sustains world
class music, theatre and visual arts industries as well as staging many
internationally recognise sporting events each year. Melbourne
consistently ranked high in the top ten of the/ Economist's World's Most
Livable Cities/, ranking 2^nd in the 2008 poll.

For further information, including instructions of how to lodge your
application, please refer to
http://yourcareer.rmit.edu.au/jobDetails.asp?sJobIDs=543790&lCategoryID=&lWorkTypeID=&lLocationID=6580&stp=AW&sLanguage=en
<http://yourcareer.rmit.edu.au/jobDetails.asp?sJobIDs=543790&lCategoryID=&lWorkTypeID=&lLocationID=6580&stp=AW&sLanguage=en>

or simply go to http://yourcareer.rmit.edu.au
<http://yourcareer.rmit.edu.au/jobDetails.asp?sJobIDs=543790&lCategoryID=&lWorkTypeID=&lLocationID=6580&stp=AW&sLanguage=en>
and search on keyword 543790.

You may also contact Professor Andrew Eberhard on + 61 3 9925 2616
(andy.eb at rmit.edu.au <mailto:andy.eb at rmit.edu.au>), or Professor
Natashia Boland on +61 2 4921 6717 (Natashia.Boland at newcastle.edu.au
<mailto:Natashia.Boland at newcastle.edu.au>).

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