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 to match the skills that are in demand. We hope you will help us build the sustainable companies and communities of the future. Operation and maintenance is a rapidly growing research area and an important area in many industries where maintenance costs are one of the largest single cost items. Effective maintenance can generate income for the industry through better plant utilization and higher availability. Through well-planned maintenance, external and internal operational risks can also be controlled and minimized. Operations and maintenance engineering is multidisciplinary in nature, incorporating many scientific disciplines and new emerging technologies. The department's activities are adapted to finding synergies with other engineering disciplines and building networks with many active research groups, locally and globally. Subject description Operation and maintenance technology includes the development of methods, models and tools to ensure high reliability and efficient maintenance of both existing and new systems and facilities. One area of ​​research focuses on condition monitoring and predictive technologies, where measurements and modeling of the condition of various facilities or equipment play a significant role. Project description This PhD project will deal with a part of a digital twin where machine learning methods and multiphysics simulation will be combined. The research project is conducted in the area of ​​Railway systems. The research questions that will be addressed in this project are related to the simulation of magnetic field propagations on the rail surface and the possibility of identifying key parameters in the return field that can be linked to different defects on the rail. The project will be part of an ongoing EU research project. Real case studies of railway sections will be used to validate and support the developed defect detection methods. The purpose of the research is to generate knowledge that can be used to improve the maintenance limits for track infrastructure. Job duties The tasks within the doctoral project include active participation in research and development of results and deliverables linked to EU projects. In addition to the theoretical thesis, practical work related to database management, computer programming and simulation will be included. Other tasks related to the doctoral education will be specified in the individual doctoral education plan. For further information on specific doctoral education see; Study plans for postgraduate education within the Faculty of Technology Qualifications To be eligible for employment, you must have a master's degree in the subject of computer science, technical physics, mechatronics, mechanical engineering or similar education. You must also be able to speak and write fluent English. Previous experience of working with multiphysics simulation software such as COMSOL multiphysics or similar is advantageous. Subjects within your education that will be considered meritorious are: • Computational modeling • Multi-physics simulation • CAD drawings • Railway system engineering Information Employment as a doctoral student is time-limited to 4 years, teaching and other department duties can add up to 20% of full-time. Place of employment: Luleå. Intended access: by agreement. For further information about the service, please contact: Matti Rantatalo, Assistant Professor, 0920-49 2104, matti.rantatalo@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 For full ad see: Work with us | Luleå University of Technology (ltu.se) Application We prefer that you apply for the position via the application button below, where you attach a personal letter as well as a CV/résumé and degree certificate. Please mark your application with the reference number below. The application and diploma must be written in Swedish or English. For full ad see Application deadline: 22 February 2024 Reference number: 504–2024