Luleå University of Technology is growing rapidly with world-leading expertise in several research areas. We shape the future through innovative education and groundbreaking research results, and based on the Arctic region, we create global social benefits. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has a total turnover of almost SEK 2.1 billion per year. We are currently 1,900 employees and have 18,700 students. In the coming years, billions of kronor will be invested in Norrbotten and Västerbotten in major projects aimed at a more sustainable society nationally as well as globally. Luleå University of Technology is involved in several of these highly topical research projects and the social transformation that follows. We have a wide range of programs to match the skills that are in demand. We hope you will help us build the sustainable businesses and societies of the future. The EISLAB division at the Department of Computer Science, Electrical and Space Engineering conducts research in the fields of cyber-physical systems, electronic systems and machine learning. EISLAB is involved in several large European projects for distributed systems engineering focusing on IoT, systems of systems (SoS) and cyber-physical systems (CPS). Current examples include Arrowhead fPVN (42 partners, from 11 countries in Europe) and AIMS5.0 (53 partners in Europe, major industries, SMEs, research organizations and universities). A key result is the Eclipse Arrowhead software framework for industrial automation which has wide support of European industry. Topic description Cyber-physical systems encompass integrated software, electronics hardware and application architecture in connected devices and distributed systems. The research aims to create secure, autonomous and evolvable solutions that interact with each other and their environment, from edge to cloud. Project description You will work with some of the following areas within CPS: -Sustainable industrial AI-driven cyber-physical systems (CPS) with respect to their ability to effectively fulfill their intended purpose throughout their lifetime, including the ability to adapt to changing environments and uncertain conditions. -Decision Support Systems (DSS) for industrial CPS applications based on Explainable AI (XAI), with the goal of enabling efficient and effective human-machine interaction. -Design of DSS for Intrusion Detection Systems (IDS) in CPS and IoT networks, enabling efficient and effective use of ML/DL-based anomaly detection by humans, e.g. qualified cybersecurity personnel. The work will be conducted as parts of national or European projects with industrial partners. Outputs include academic papers and open source contributions, for example, for Eclipse Arrowhead. Duties and responsibilities The position typically involves working in collaboration with both academic and industrial partners in Europe. Cooperation with industry is therefore essential. In this, you will work closely with other LTU researchers and take part in the supervision of PhD students. The service mainly includes work in research projects. Teaching and pedagogical development work is also included. The holder of the position is expected to contribute in: -Research in funded projects in collaboration with other senior researchers at EISLAB and PhD and MSc students. -funding activities defined in collaboration with the Head of Subject and Head of Department -Education at the University at engineering, civil engineering and postgraduate levels, teaching and supervision. -Contribute to a healthy and forward-looking working climate at the EISLAB, SRT and Luleå University of Technology departments. Qualifications To be eligible, applicants must have a PhD or equivalent foreign degree in cyber-physical systems, data-driven solutions, distributed computing systems, computer science, digitalization/automation systems or similar. In the first instance, it should be taken into account that the doctoral degree was obtained no more than three years before the application deadline. You must be proficient in computer science and have good programming skills, including software design, basic programming concepts and programming experience. Previous experience working with microservices systems, applied machine learning (ML), IoT, CPS and/or SoS is an advantage but not a requirement. Experience in applying machine learning in image analysis, sensor data or multimodal data sources, especially in dynamic or interactive environments is an advantage. Fluency in oral and written communication in English is required. Experience in international research collaboration and teaching at university level in English is an asset for the position. Information to be provided This position is a full-time position for two years. Place of employment Luleå. Planned start date 2025-06-20. For further information, please contact Professor Ulf Bodin, 0920-49 3036, ulf.bodin@ltu.se Trade union representative: SACO-S Diana Chroneer, 0920-49 1529 diana.chroneer@ltu.se OFR-S Marika Vesterberg, 0920-49 1721 marika.vesterberg@ltu.se How to apply We prefer that you apply for the position via the application button below where you attach a cover letter, CV/resume and copies of verified diplomas. Please mark your application with the reference number below. Both the application and the diplomas must be written in Swedish or English. Deadline for applications: 2025-06-12 Reference number: 2359-2025