With more systems becoming networked, cybersecurity is growing to be increasingly important. There are many different aspects of cyber-security, and for this position, we focus on special environments, such as IoT devices, connected vehicles, and systems with societal importance. The work includes investigation and evaluation of security mechanisms such as intrusion detection systems and how to create resilient designs and architectures, i.e. systems that not only detect deviations from normal behavior but also would be able to report more specifically what is wrong and use additional information to mitigate potential problems and continue to work.
Information about the department
The Department of Computer Science and Engineering is a joint department at the Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department has around 270 employees from over 30 countries.
Our research has a wide span, from theoretical foundations to applied systems development. We provide high-quality education at Bachelor’s, Master’s, and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry, and society.
Your main responsibility as a Ph.D. student is to pursue your doctoral studies within the framework of the outlined research project. You will be enrolled in a graduate program in the Department of Computer Science and Engineering. You are expected to develop your ideas and communicate scientific results orally as well as in written form. In addition, the position includes 20% departmental work, mostly as a teaching assistant in Chalmers’ undergraduate and masters-level courses or performing other departmental tasks. You will work closely with supervisors in security for system design and development, followed by an empirical evaluation to be submitted to academic conferences and journals.
The exact work tasks can be adapted to you and your profile, but research questions can span from system-oriented approaches in understanding under what conditions information is collected and if this collection can be made richer, to algorithmic questions with inspirations from explainable AI to involve investigating transparent and understandable white box mechanisms that complement the expert rather than black-box stand-alone systems.
Full-time temporary employment. The position is limited to a maximum of 5 years. During this time you are expected to obtain a Ph.D. degree. This encompasses 20% departmental duties (typically teaching), 20% studies for credits towards your Ph.D. and 60% research.