CoRE-funded PhD studentship
 

Location: Lincoln University Contact: Dr Sue Worner email: worner@lincoln.ac.nz

Intelligent systems for prediction and detection of pest invasions

The objective is to develop computationally intelligent systems that will identify potential insect biosecurity threats and model the spread of new pest incursions in New Zealand. The models will be based on a comprehensive database of climatic and biotic variables and the global presence or absence of key pests. A combination of Artificial Neural Networks (ANN) and statistical methods will be used to predict the survival, establishment and dispersal of potential insect pests under New Zealand environmental conditions. The project involves the establishment of a database of global insect population data combined with weather and vegetation data. The PhD candidate will use that database to develop, train and test both ANN and statistical models that predict pest invasions.

The preferred candidate will have good computing and quantitative skills with a strong interest in computing applications in ecology. If necessary, training will be given in the theory and use of ANN technology.  Candidates with a biostatistical background and experience with the application of artificial neural networks would have an advantage. The successful candidate should have good communication skills and be able to work independently but with a capacity to collaborate within a small multidisciplinary team

Funding for this position includes a stipend (between $NZD 20-25,000 tax free p.a.) and domestic tuition fees. Students from New Zealand, Australia, France and Germany pay the domestic rate (around $4000 p.a.), whilst prospective students from other countries pay the international rate (approximately $28,500 p.a.) and would need to fund the shortfall themselves. In addition, each project has a consumables budget associated with it.
Contact: Dr Sue Worner, email: worner@lincoln.ac.nz

Lincoln University is committed to a policy of an equal opportunity in education and employment