Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. 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 SEK 1.9 billion per year. We currently have 1,840 employees and 17,670 students. In the coming years, multi-billion sums will be invested in Norrbotten and Västerbotten in large 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 training courses to match the skills that are in demand. We hope you will help us build the sustainable companies and communities of the future. The department EISLAB at the Department of Computer Science, Electrical Engineering and Space Technology conducts research in cyber-physical systems, the Internet of Things, automation of systems of systems, machine learning, deep learning, data science, electronics system design and sensor systems. Research in cyber-physical systems is conducted in close collaboration with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB, SKF and leading international universities. An important result is Eclipse Arrowhead, an open source framework for industrial automation widely supported by European industry. Subject description Cyber-physical systems (CPS) focus on integrated software and application architectures with implementations of massively distributed embedded systems that interact with each other and their surroundings to enable secure, purposeful, autonomous and scalable solutions. Project description You will initially work as part of a team of researchers within a European project. As your major, you will work in some of the following areas: - Translation of data models to enable automation of the engineering process. -Machine learning based code generation for autonomous translation of payload data semantics. -Dictionary learning and algorithms for translation between major data modeling languages. -Use of model-based systems technology (UML, SysML, metamodels) to model the most widely used data modeling languages. The project aims to further digitize European industry where EISLAB will be responsible for CPS intelligence, IoT and SoS automation architecture as well as the use of AI and machine learning (ML). The goal is to produce open source scientific articles and contributions for Eclipse Arrowhead. Projects usually involve collaboration with both academic and industrial partners in Europe. Therefore, collaboration with the software and automation industry is a key success factor for these projects. In this, you will work closely with other researchers and doctoral students at Luleå University of Technology. Job duties As a PhD student, you work towards a PhD as the ultimate goal. The work will address the goals according to the Higher Education Ordinance. Most of your time will be spent working on research projects where you will develop proof-of-concept solutions to experimentally evaluate and explore aspects of industrial software systems and components. You will communicate your results at international conferences and in scientific journals. To support your thesis work, you will take courses as part of studies at doctoral level, general courses for LTU's doctoral program, specially designed courses, etc. Your research and coursework will be planned and documented in your individual study plan throughout your study period. In addition, teaching and other tasks at the department or institution are conducted by doctoral students, which is limited to a maximum of one year of the total five-year period. Qualifications We are looking for you - a talented, analytical and motivated colleague who can carry out advanced research both alone and in collaboration with others in our research group. The required background for applicants is a master's degree in computer science or equivalent. A degree in electrical engineering, technical physics or similar will also be considered. We also welcome applicants with an expected degree in this field in 2024, no later than August. The applicant must be knowledgeable in computer science. Previous experience working with SOA, IoT, SysML, ML, CPS and/or SoS is valuable but not a requirement. The applicant must also have good programming skills, including software design, basic programming concepts and experience in Java programming or similar. Fluency in oral and written communication in English is a requirement. For further information on specific doctoral education study plans for postgraduate education within the Faculty of Technology Information Employment as a doctoral student is limited to 4 years, with the possibility of an extension of a maximum of one year for teaching and other departmental duties. Location: Luleå. Start: Autumn 2024. For further information about the service, contact Cristina Paniagua, 073-805 7580, cristina.paniagua@ltu.se Union representatives: SACO-S Kjell Johansson 0920-49 1529 kjell.johansson@ltu.se OFR-S Lars Frisk, 0920-49 1792 lars.frisk@ltu.se Application We prefer that you apply for the position via the apply button below. The application should include CV, cover letter and copies of verified high school and university diplomas. Mark your application with the reference number above. Your application, including degree certificate, must be written in English or Swedish. Application deadline: 2024-08-04 Reference number: 2107-2024