PhD student in Operation and Maintenance Engineering
Luleå Tekniska Universitet / Högskolejobb / Luleå
2025-06-30
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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 nearly SEK 2,1 billion per year. We currently have 1,900 employees and 18,700 students. In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.
Operation and maintenance is a rapidly growing research area, as it is recognized as an important enabler for the business performance by industry all over the world. For many industries maintenance costs are one of the biggest individual cost items. Effective maintenance can generate income for industry through better facility utilization and higher availability. Through well planned maintenance, external and internal operational risks can also be controlled and minimized.
The subject area/division of Operation and Maintenance Engineering is multidisciplinary in nature and includes many disciplines of science and emerging technologies. The activities of the Division are aligned towards finding synergies with other engineering disciplines and building networks with many active research groups, locally and worldwide. The Division has been successful in obtaining grants from EU and Swedish Research funding agencies like VINNOVA and SSF. The Division has launched an International Journal of System Assurance Engineering and Management published by Springer. The establishment of SKF- University Technology Center for advanced condition monitoring has provided the Division with a much-needed platform for the development of diagnostic and predictive technologies. At the Division two labs has been established the eMaintenance Lab and the Condition based maintenance Lab with an associated test facility for railway components. The Division is furthermore fully competent and equipped technologically to undertake research work in the emerging areas of big data, predictive and prescriptive analytics.
Subject description
Operation and Maintenance Engineering deals with the development of technologies to ensure high system dependability, effective maintenance processes, and life cycle management of engineering assets.
Project description
Global Navigation Satellite System (GNSS) is a systems that society depends on, both in terms of positioning but also for time and frequency (TF). Time and frequency from a GNSS receiver are widely utilized, as receivers are inexpensive and easy to install. A number of the systems that are crucial for society are GNSS dependent in terms of correct and traceable time and frequency. These systems include those critical for the function of energy, communication, security systems as well as he alth systems for entire countries.
This Ph.D. project aims to advance the field of time and frequency (TF) transmission in data communication networks. The focus of the research will be on distributed fiber optic sensing (FDOS) and machine learning approaches to improve the accuracy and reliability of TF-transmission.
Duties
The duties within the PhD project include active participation in the research and development of deliverables connected to the project. Except for the theoretical thesis work, practical work related to computer programming, simulation and on-site field measurements of different aspects will be included. Other duties related to PhD education will be specified within the individual PhD study plan.
Qualifications
In order to be eligible for employment you must have a master's degree in the subject of computer science, technical physics, Mechatronics, Mechanical, Geophysics, or a similar education. You also have to be able to fluently speak and write in English. Topics within the degree that will be seen as meritorious are:
• Signal processing techniques
• Wave propagation
• Acoustic microphone array and structural born sound
• Mechanical vibrations
• Computer programming
• Machine learning/Artificial intelligence approaches
• Predictive Analytics and Data Science
• Fiber Optics
For further information about a specific subject see;
• General syllabus for the Board of the faculty of science and technology
Further information
Fulltime fixed-term employment for four years. Departmental duties such as for example teaching might be added up to maximum 20 % of fulltime. Security testing of the applicant may take place. The position is placed in Luleå, Sweden.
For further information about the position, please contact: Matti Rantatalo, Professor, (+46) 920-49 2104,
matti.rantatalo@ltu.seUnion representatives:
SACO-S Diana Chroneer,(+46 )920-49 2037
diana.chroneer@ltu.seOFR-S Marika Vesterberg,(+46)920-49 1721
marika.vesterberg@ltu.seIn case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.
Application
We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.
Last day of application: July 21, 2025
Reference number: 2995-2025
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Arbetsgivare Luleå Tekniska Universitet (org.nr 202100-2841)
Arbetsplats Luleå tekniska universitet
Jobbnummer 9409128