Postdoc in Self-learning Systems for Automated Cybersecurity
Postdoc in Self-learning Systems for Automated Cybersecurity
KTH - Royal Institute of Technology
Stockholm, Sweden
Job description
The research involves mathematical and algorithmic modeling and analysis, as well as system design, implementation, and experimentation.
The research follows an approach where cyberattacks and response actions on an IT infrastructure are modeled as a game between an attacker and a defender and where strategies of attackers and defenders co-evolve through self-play. The game model is based on attack graphs and system architecture models. Reinforcement learning techniques are studied to approximate optimal control strategies. In addition to analytical modeling and analysis, a testbed and a simulation environment is available and further developed for experimentation, training, and evaluation of control strategies. Cyber ranges hosting realistic IT infrastructure environments are also available. The successful candidate will join a group of researchers that work on topics related to this project.
Qualifications
Requirements
- A doctoral degree, or an equivalent foreign degree, in computer science or a related area. This eligibility requirement must be met no later than the time the employment decision is made;
- You exhibit research expertise, collaborative abilities and independence;
- Expertise in the following areas is required: statistics, machine learning, cybersecurity, and programming;
- You are aware of diversity and equal opportunity issues, with specific focus on gender equality;
- For the position, it is required that you have good oral and written communication skills in English in your daily work.
Preferred qualifications
- A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline;
- Good teaching abilities.
Great emphasis will be placed on personal skills.
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