Job Description
The successful candidate will make a substantial contribution to the University's strategic objectives. They will undertake high-quality research of national and international standing, publishing findings, and contributing to the supervision of research higher degree students.
They should have expertise in computational techniques applied to scientific questions such as machine learning and/or inverse theory. The candidate should also be familiar with Antarctic datasets relevant to understanding the subsurface environment.
In addition, they should have experience in research supervision and supporting graduate-level learning. They should have a record of contributing to building and maintaining effective and productive links locally, nationally, and internationally within and across disciplines, and for the wider research community.
1. Conduct innovative research that enhances the University's reputation and makes significant contributions to computational physics.
2. Publish research findings in reputable journals and present at international conferences.
3. Supervise research higher degree students and contribute to their academic growth.