2 Doctoral Researchers, Machine Learning and Cybersecurity, SafeEarth Research Programme
About this role
Faculty of Information Technology and Electrical Engineering, Computer Science and Engineering
The University of Oulu is a multidisciplinary, international research university, with about 4000 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane world. The University of Oulu community has about 17,000 people in total. Our northern scientific community operates globally and creates conditions for the emergence of innovations.
We are now looking for two
Doctoral Researchers
to join us in the unit of Computer Science and Engineering at the Faculty of Information Technology and Electrical Engineering.
The positions are located in the Biomimetics and Intelligent Systems Group (BISG) and are part of the SafeEarth Research Programme, which belongs to the national profiling actions supported by the Research Council of Finland.
BISG conducts internationally recognized multidisciplinary research in Data Analysis, Robotics, Secure Programming, and Bio-IT. The application areas of our research include optimization of industrial manufacturing processes, Industry 4.0, health and well-being systems, environmental monitoring with mobile robots, dependable Internet of Things (IoT), and seamless artificial-natural systems.
SafeEarth research programme aims to discover novel ways to recognise and tackle safety and security threats by studying 1) how solar storms with sudden energy releases and particle bursts create natural hazards on different timescales from seconds to centuries, 2) how the effects of humanmade attacks, especially in the cyberspace, can be minimised, and3) how language, communication and information practices enable protective actions.
About the job
As a doctoral researcher, the candidate is expected to work on wireless network security research topics to investigate new threats arising from the acceleration of AI techniques in wireless systems.
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