Luleå University of Technology is growing rapidly with world-leading expertise in several research areas. 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 an annual turnover of over SEK 2.3 billion. We are more than 1,800 employees and have nearly 21,600 students.Robotics and Artificial Intelligence, RAI at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology is now looking for a PhD student to contribute to our growing activities. The RAI team conducts fundamental and principled research in all aspects of robotics with a specific focus on airborne, space and bio-inspired robotics. Subject description Robotics and Artificial Intelligence aims to develop new robotic systems characterized by advanced autonomy to improve the ability of robots to interact with the environment and humans while performing specific tasks. Project description RAI's fundamental vision is to close the gap between theory and reality and the team has a strong background in field robotics. Application areas we focus on are robotics for mines, airborne inspection of aging infrastructure, multi-robot search and rescue for emergency services and the like. Furthermore, we work on multi-sensor fusion and multi-robot coordination which includes ambient perception, decentralization and execution of specified missions for multi-robot systems. The RAI team has a strong European and national participation in several R&D&I projects. Duties and responsibilities You will perform research with experimental elements published in internationally recognized academic journals and at major conferences. You will also work on thesis supervision, teaching assistance and support in applying for funds for future research projects from research funding agencies/councils, EU projects or industry. As a PhD student, you will work in the field of autonomous robotic systems and the activities will be linked to national, European and global R&D projects. The PhD position involves extensive research activities in design, experimentation and theoretical development focusing on the following combined research areas. Previous experience in one, or preferably, several of these areas is an advantage. - Reconfigurable 5G connectivity - 5G/6G QoS (Quality of Service) - Regulation of communication networks - Markov processes - Network-based localization / Radio-based connectivity - Customizable bandwidth - Mesh networks - Wireless sensor networks - Edge computing - Time-delayed systems - Adaptive Queuing (Adaptive Queuing) Qualifications To be eligible for a PhD position, you must have a five-year university degree in computer science, engineering physics or other relevant subject. Good scientific skills and excellence in experimental research and good communication skills in speech and writing. You will represent the group in different contexts, both in Sweden and abroad, hence very good knowledge of English is a requirement. For further information on specific doctoral programs, please see the curricula for doctoral programs in the Faculty of Engineering Information about the program Employment as a doctoral student is limited to 4 years, teaching and other departmental duties may be added up to 20% of full time. Place of employment Luleå, access by agreement. For further information, please contact: George Nikolakopoulos, Professor and Head of Department, 0920-49 1298, geonik@ltu.se Trade union representative: 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 personal letter and CV/resume with scientific merits, at least two references and copies of verified diplomas. The diplomas must be written in Swedish or English. The application must be written in English. Please mark your application with the reference number below. Application deadline: April 27, 2026 Reference number: 2450-2026