Mid Sweden University is seeking a postdoctoral researcher to join the Interreg Aurora project 'TRUST', focusing on trustworthy AI and network security. The project aims to develop secure and robust wireless networks for remote areas in the Aurora region, leveraging AI and cybersecurity to create reliable communication solutions that strengthen industry. The research involves collaboration with the University of Vaasa (Finland) and covers areas such as industrial IoT, precision positioning, cybersecurity, and AI-driven communication protocols.

The successful candidate will work on enhancing wireless communication and sensing with secure, resilient, and trustworthy solutions. The project combines terrestrial and satellite systems to improve real-time data management, automation, and efficiency in industries like manufacturing, supply chain management, and smart grids. Key research areas include secure and resilient communication protocols, secure positioning and sensing systems, and trustworthy AI integration for wireless networks.

Applicants should have a strong theoretical foundation in network security, hands-on experience with applied security or AI systems, and knowledge of positioning or localization technologies is a strong plus. The position is open to postdoctoral researchers or very recent PhD graduates in computer science, electrical engineering, or related fields. The project is led by Professor Mikael Gidlund and researcher Kyi Thar at Mid Sweden University, with a cross-border testbed to validate technologies in real-world conditions.

The position is fully funded as part of the TRUST project, but specific details about the stipend or salary are not provided. The start date is as soon as possible, and applications are considered on a rolling basis. Interested candidates should contact Kyi Thar at [email protected] for more information and review the TRUST project details online. This opportunity is ideal for researchers interested in trustworthy AI, network security, wireless communication, and applied cybersecurity in industrial contexts.