Find out more about the potential projects available to research as part of your studies with E&ERC.
The following projects are based in the Brooks lab and may include cosupervision with or at UNSW or colleagues overseas. We're looking for honours and PhD students interested in evolution, ecology and/or behaviour. Our research has both laboratory and field components. We use a variety of insect and fish species that are well suited to experimental work, although opportunities exist to work on other vertebrate and invertebrate groups as well as on humans.
Our research focuses on the causes and consequences of sexual selection and conflict at genetic and phenotypic levels, and the evolution and expression of ageing. Our main study system is the giant stilt-legged flies of Australia (Family: Neriidae; Genus: Telostylinus). These flies occur along the east coast, with one species in NSW and another in tropical North-Queensland. We also maintain laboratory populations of each species for experiments. Potential projects:
Projects in the laboratory of Prof. Alistair Poore and Prof. Emma Johnston involve the use of manipulative experiments to understand ecological and evolutionary processes in marine ecosystems. We're interested in supervising students that have interests in marine ecology, evolution, toxicology and environmental impacts.
There are a number of projects available with Terry Ord. Topics include the evolution of animal communication, behavioural adaptations to major ecological transitions, genetic differentiation and 'neutral' change in behaviour, the role of phenotypic plasticity in macroevolution and others.
The Eco-Stats Research Group is a team of statistics researchers and students led by David Warton, who specialises in ecological statistics — improving the methods for making use of data to answer research questions commonly asked in ecology.
We evaluate existing methodologies, explore the application of modern methods that are essentially unknown to ecologists, and where needed we develop entirely new statistical methodology, with an emphasis on model-based approaches (which are usually easier to interpret and which often have optimality properties).
For further details go to www.eco-stats.unsw.edu.au.