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 SEK 2 billion per year. We are currently 1,500 employees and have 17,900 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 cyber-physical systems, Internet of Things, automation of systems of systems, machine learning, deep learning, data science, electronic system design and sensor systems. Cyber-physical systems (CPS) focuses on integrated software and application architectures with implementations of massively distributed embedded systems that interact with each other and their environments to enable secure, purposeful, autonomous and evolvable solutions. This includes software-defined systems of systems for automation and digitalization in manufacturing industries. Our research is conducted in close collaboration with companies such as Bosch, Ericsson, Volvo, Infineon, Boliden, LKAB, SKF and leading international universities. A major result is Eclipse Arrowhead, an open source framework for industrial automation supported by 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 initially work as part of a team of researchers within the European project. You will work in some of the following areas: -Data model translation 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. äUse of Model-based System Engineering (UML, SysML, metamodels) to model the main data modeling languages. The project aims to further digitalize 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 scientific papers and open source contributions for Eclipse Arrowhead. The projects usually involve collaboration with both academic and industrial partners in Europe. Therefore, collaboration with the software and automation industry - both as future product owners and users - is a key factor for the success of these projects. In this, you will work closely with other researchers and PhD students at Luleå University of Technology. Work tasks As a PhD student, you will work towards a PhD degree as the final goal. The work will address the objectives according to the Higher Education Ordinance. Most of your time will be spent working on research projects where you will develop proof-of-concept to experimentally evaluate and explore aspects of industrial software systems and components. You will present your results at international conferences and in scientific journals. To support your thesis work, you will take courses as part of the PhD studies, generic courses for LTU PhD programs, specially designed courses, etc. Your research and courses will be planned and documented in your individual study plan throughout your studies. In addition, teaching and other departmental duties at the division or department are carried out by doctoral students. Qualifications We are looking for you - a talented, analytical and motivated colleague who can perform 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, engineering physics or similar will also be considered. The applicant must be knowledgeable in computer science. Previous experience working with SOA, IoT, SysML, ML, CPS and/or SoS is valuable but not required. The applicant must also have good programming skills, including software design, basic programming concepts and experience with Java programming or similar. Fluency in oral and written communication in English is required. For further information on specific PhD programs see curricula for doctoral studies in the Faculty of Engineering Information about the program Employment as a doctoral student is limited to 4 years, with the possibility of extension for a maximum of one year for teaching and other departmental duties. Location: Luleå. Start: Fall 2025. For further information about the position, please contact Dr. Shailesh Singh Chouhan, 0920-49 2165 shailesh.chouhan@ltu.se Trade union representatives: SACO-S Diana Chroneer 0920-49 1529 diana.chroneer@ltu.se OFR-S Lars Frisk, 0920-49 1792 lars.frisk@ltu.se How to apply We prefer that you apply for this position by clicking on the application button below. The application should include CV, cover letter and copies of verified high school and university diplomas. Please mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Deadline for applications: January 24, 2025 Reference number: 385-2025