Applications are invited by well-qualified applicants for an MSc (by research) and/or PhD position in the application of statistical machine learning techniques to anomaly detection in software appliances (firewalls etc).
Supported by a major manufacturer, the project will involve the development of new approaches for predictive modelling of measured signals, adaptive learning and inference of fault conditions. The project is supported by a dedicated hardware testbed and as part of the project the developed detection approaches will be implemented in order to evaluate performance in realistic environments.
Good numerate and analytic skills will be essential. Applicants should have a good understanding of machine learning and time-series analysis. A basic understanding of IP networking and some familiarity with the configuration and use of Linux or BSD systems will be helpful.
The Hamilton Institute is committed to research excellence. This post offers an exciting opportunity for successful candidates to tackle fundamental research problems within a stimulating multi-disciplinary research environment with state of the art facilities and strong links to the international research community.
Stipend: €21000 (tax free)
To apply, candidates should submit a detailed CV and the names and addresses of two referees for letters of recommendation to: hamilton@nuim.ie. Applicants should also include transcipts of undegraduate grades, motivation letter. Informal enquiries to Prof. Doug Leith (doug.leith@nuim.ie)
