The research of the Foundational and Experimental Security Group is at the intersection between Security, Software Engineering and Risk Analysis.
We aim at the formalization and sound empirical evaluation of security methodologies and solutions from risk assessment and threat analysis to mining software vulnerabilities and analysing Java and cloud microservices. The empirical approach allows us to solve security problems and defend against adversaries that are real instead of dark lords of our own making, using various applications as test cases. We are particularly interested in how
AI, Data Science, or Machine Learning techniques can be used to quantify and assess software and system security from open source software to cloud services.
Understanding and quantifying large repositories of data is key to making security effective in practice and expertise in this area is a pre, as is expertise in the design of such data analysis using e.g., mining large software repositories, or other empirical research methods.
We consider collaboration with industry a plus as it is a great source of challenging problems to solve as well as data to analyze. See our group pagina (
https://www.cs.vu.nl/en/research/computer-systems/foundational-and-experimental-security/index.aspx) for more information or VU’s work.
Your dutiesThe position includes research, education and management (40%, 40%, 20%) and contains among others the following responsibilities:
- performing research in AI/Data, Software Engineering and Security
- supervising PhD students
- teaching in the Bachelor and Master programmes of the Department of Computer Science and in particular support the growing number of students in the CS programs
- supervising MSc/BSc student research projects in the Department
- contributing to and write research grant proposals
- contributing to administrative tasks