Grant-Funded Researcher (A) - Evolutionary Computation, Computer Science

Job description

A postdoctoral research position in the area of evolutionary computation within the Optimisation and Logistics group

This role is available for one year in the first instance, however, there is a possibility of extension, depending on funding and performance.

To be successful you will need:

• PhD in Computer Science or related discipline.
• Strong background in evolutionary computation, especially in the area of diversity optimization and problems with dynamic constraints.
• Strong background in evolutionary computation for algorithm selection.
• Strong programming skills and excellent skills developing software packages for optimisation problems.
• Ability to work efficiently and collaboratively within a team.

Enjoy an outstanding career environment

The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.

It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.

Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity, We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.

In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.

Learn more at: adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are work leaders in their fields and graduates are highly regarded by employers.

Learn more at: ecms.adelaide.edu.au

For further information

For a confidential discussion regarding this position, contact:

• Professor Frank Neumann
• School of Computer Science
• P: +61 (08) 8313 4477
• E: frank.neumann@adelaide.edu.au

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The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.