The selection procedure has been extended to end of september because the project starting date has been delayed to later in autumn 2020 due to the coronavirus situation
The gist of the project is to develop semi-automated methods for cyber-security incident response. This requires applications at the intersection between Computer Security (for attack detection and response planning) and Human-Computer-Interaction (for effective communication and trust-building techniques between the system and the operator).
The overall goal of SeReNity is to develop the technologies needed to move towards automated incident response in the cybersecurity domain. This requires not only reliable detection and alert prioritization techniques, but also an effective integration of event data and automated analysis results in the response process.
The candidate in this project will work with state-of-the-art detection and alerting technologies deployed in the Security Operation Center (SOC) operated by the Department of Mathematics and Computer Science at the Eindhoven University of Technology, and in collaboration with an industrial leader in the domain of cyber-attack detection and response.
The PhD student applying to this position will have the opportunity to work on technical as well as human-level aspects of information security; the goal is to develop methods and techniques to effectively and timely extract and communicate information on security incidents to the (human) analysts operating the SOC. These techniques should aim toward a semi-automated response process, whereby the provided information can be immediately “operationalized” into a response strategy or plan. This requires not only technical and analytical developments in the area of attack detection, but also the evaluation of trust-building techniques to increase the operator’s confidence in the provided information.
An extensive project description is available on request.
We are looking for a candidate who meets the following requirements:
For more information about the project, please contact dr. L. Allodi, e-mail: l.allodi[at]tue.nl and Prof. dr. Chris Snijders, email: C.C.P.Snijders[at]tue.nl.
For information about employment conditions please contact HR advisor TU/e, e-mail: pzwin[at]tue.nl
The application should consist of the following parts:
To apply, please send us your cover letter, curriculum vitae and other relevant documents by using the ‘apply now’ button on top of this page.
Please send us your application before 31 July, 2020.
Applications submitted by e-mail will not be considered.