Research Associate Position in System Identification for Network Anomaly Detection, Hamilton Institute, Ireland
Research Associate Position in System Identification for Network Anomaly Detection, Hamilton Institute, Ireland.
Applications are invited by well-qualified applicants for a postdoctoral post and a postgraduate position in the development of new system identification/time series analysis techniques for anomaly detection in network devices (firewalls etc).
Supported by a major manufacturer, initial work in the area has made use of linear predictive models and real-time monitoring. 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.
Good numerate and analytic skills will be essential. Some familiarity with networking and 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.
Postgraduate 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 to: doug.leith[ at ]nuim.ie
Postgraduate applicants should also include transcipts of undergraduate grades, motivation letter.
Applications are invited by well-qualified applicants for a postdoctoral post and a postgraduate position in the development of new system identification/time series analysis techniques for anomaly detection in network devices (firewalls etc).
Supported by a major manufacturer, initial work in the area has made use of linear predictive models and real-time monitoring. 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.
Good numerate and analytic skills will be essential. Some familiarity with networking and 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.
Postgraduate 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 to: doug.leith[ at ]nuim.ie
Postgraduate applicants should also include transcipts of undergraduate grades, motivation letter.
Comments