Do you want to do research on the intersection of mathematics and computer science, using algebra to create fast and widely applicable algorithms? We have the following offer:
The challenge The safety and security threats faced by high-tech systems are assessed via mathematical risk models. As systems grow more complex, so do risk models, and developing model checking algorithms for fast and rigorous risk analysis is an important subfield of computer science.
Two prominent models are fault trees (for safety) and attack trees (for security). For these, existing algorithms are fast, but require all parameters to be known exactly. This can be a problem as precise data can be hard to obtain, especially in cybersecurity.
The aim of this PhD project is to develop new risk analysis model checking methods that can handle various types of uncertainty, such as random variables and fuzzy numbers. These algorithms will be rooted in polynomial algebra; your challenge is to exploit this algebraic structure to create fast algorithms. To make these algorithms as widely applicable as possible, you will develop a general algebraic framework to express different types of uncertainty in different metrics.
You will: - You will perform daily PhD-level research
- Publish results in scientific workshops, conference proceedings, and journals, and present these at (inter)national workshops and conferences.
- Contribute to teaching activities related to your work
- Be a part of an excellent and internationally renowned research group.