Postdoctoral & MSc Positions in Software Appliance Anomaly Detection

Applications are invited by well-qualified applicants for a postdoctoral post and an MSc
position in application of statistical machine learning techniques to anomaly detection in software appliances (firewalls etc).

The current state of anomaly detection for many software appliances relies on manual setting of threshold values for a few variables. Recognizing the desirability of automating this process, and the fact that simple thresholds are insufficient, this project will investigate mathematical and statistical frameworks for the discernment of “normal” operating conditions, and the subsequent detection of “anomalous” or “fault” conditions. Supported by a major manufacturer, initial work in the area has made use of linear predictive models and real-time monitoring of CPU utilisation. This has achieved good success but we now want to extend consideration to monitoring of more sophisticated measurements (including per process discrete state information) in order to encompass a wider range fault and operation conditions. 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.

For the MSc post good numerate and analytic skills will be essential. Applicants should have a good understanding of machine learning and time-series analysis, and a basic understanding of IP networking. 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.

MSc Stipend: €21000 (tax free)
Postdoctoral scale: €45704-€63094

To apply, candidates should submit a detailed CV and the names and addresses of two referees for letters of recommendation o: MSc applicants should also include transcipts of undegraduate grades, motivation letter. Informal enquiries to Prof. Doug Leith (

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