Research Officer / Research Fellow in Optimization

RMIT University

Research Officer / Research Fellow in Optimization

Fixed term position (12 - 18 months)

$60,215.88 - $80,798.17 plus 17% super

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.

The School of Mathematical and Geospatial Sciences at RMIT is currently seeking a candidate for a Postdoctoral position in the field of Optimization. This position will see the successful candidate carrying out research on the ARC project DP0987445 "New Theory and Algorithms for Non-smooth Optimization with Application to Integer Programming", working in collaboration with and under the supervision of Prof. Andrew Eberhard (RMIT), Prof. Natasha Boland (Newcastle Uni.) and Laureate Prof. Jon Borwein (Newcastle Uni.).

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 non-smooth 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 non-smooth analysis to the study of optimality and the study of convergence of algorithms.

As the successful candidate, you will contribute to the development of the theory, algorithms and software needed in this project. Other responsibilities will include, but not be limited to:

Contributing to maintaining and extending links between the School and relevant organisations, researchers and practitioners

An active involvement in the School’s research activities

Developing and promoting the discipline area of optimization at RMIT

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.

You should show research experience in some area of mathematical programming, preferably in one of integer programming, discrete optimization, non-smooth optimization, or global optimization. For further information, please contact Professor Andrew Eberhard on + 613 9925 2616, or alternatively, please apply below. Applications close Monday 15 June 2009.

Please note that RMIT University has in place a preferred supplier agreement, therefore applications from employment or recruitment agencies will not be accepted. Any calls or queries should be directed to the Recruitment Unit on (03) 9925 0600.