focusing on reliable transmission of time and frequency via fiber 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 that you will help us build the sustainable companies and societies of the future. Operation and maintenance is a fast-growing field of research and an important area in many industries, with maintenance costs being one of the largest single cost items. Efficient maintenance can generate income for industry through better asset utilization and higher availability. Well-planned maintenance can also control and minimize external and internal operational risks. The subject area/Department of Operation and Maintenance Engineering is multidisciplinary in nature, incorporating many scientific disciplines and new emerging technologies. The activities of the division are geared towards finding synergies with other engineering disciplines and building networks with many active research groups, locally and globally. The division has been successful in obtaining grants from the EU and Swedish research funders such as VINNOVA and SSF. The division has launched a scientific journal "International Journal of System Assurance Engineering and Management" published by Springer. The establishment of the SKF University Technology Center for Advanced Condition Monitoring has created a platform for the development of predictive technologies and condition monitoring. The department has an eMaintenance lab and a condition monitoring lab with associated test facility for railway components. The department is also fully competent and technically equipped to carry out research work in the emerging areas of big data, predictive and prescriptive analytics. Subject description Operation and Maintenance Engineering covers the development of technologies to ensure high reliability, efficient maintenance processes, and life cycle management of systems and facilities. Project description Global Navigation Satellite Systems (GNSS) are systems on which society depends, both for positioning but also for time and frequency (TF). Time and frequency from a GNSS receiver is widely used, as receivers are cheap and easy to install. A number of systems critical to society depend on GNSS for accurate and traceable time and frequency. These systems include those critical to the functioning of energy, communications, security systems and health systems for entire countries. This PhD project aims to develop the field of time and frequency transmission in data communication networks. The research focus will be on distributed fiber optic sensing (FDOS) and machine learning methods to improve the accuracy and reliability of transmitted time and frequency. Duties and tasks The tasks within the PhD project include active participation in research and development of results and deliverables linked to EU projects. In addition to the theoretical thesis work, 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. Qualifications To be eligible for employment, you must have a master's degree in computer science, mathematics, mechanics, geophysics or a related field. You must also be able to speak and write fluent English. Subjects within your education that will be considered as merits are: - Signal processing - Wave propagation - Acoustic microphone arrays and structure-borne sound - Mechanical vibrations - Computer programming - Machine learning/artificial intelligence - Prediction Methods and Data Science - Fiber optics For further information on specific PhD programs see curricula for doctoral studies in the Faculty of Engineering Information on the PhD program Employment as a doctoral student is limited to 4 years, teaching and other departmental duties can be added up to 20% of full time. Place of employment is Luleå. Access according to agreement. Security check of the applicant may be done. For further information about the position, please contact Matti Rantatalo, Professor 0920-49 2104, matti.rantatalo@ltu.se Trade union representatives: SACO-S Diana Chroneer, 0920-49 2037 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 diploma. Please mark your application with the reference number below. Applications and diplomas must be written in Swedish or English. Deadline for applications: July 21, 2025 Reference number: 2995-2025