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 you will help us build the sustainable businesses and societies of the future. The Machine Learning group at Luleå University of Technology is looking for a PhD student focusing on next generation artificial intelligence (AI) technology. The research involves hardware inspired by the structure and function of the brain and aims to develop AI solutions with superior energy efficiency and low latency. We offer well-equipped laboratory environments for research as well as a strong interdisciplinary academic network in Sweden and internationally. Subject description Machine learning focuses on methods by which computer systems use data to improve their own performance, understanding and to make concrete predictions and is closely related to applications. Project description As a PhD student, you will be part of the MARTINA project, exploring the design and applications of neuromorphic technologies, i.e. brain-like AI solutions for problems that are difficult to solve with conventional technology. The project drives innovation and development through applied AI and advanced digitalization, to strengthen the competitiveness of the region's SMEs. Work tasks As a PhD student, you are expected to perform both experimental and theoretical work within your research studies and communicate your results at national and international conferences and in scientific journals. Most of your working time will be devoted to your own research studies. In addition, you will have the opportunity to familiarize yourself with the teaching role and have the opportunity to teach relevant courses. Qualifications We are looking for an ambitious PhD student who wants to conduct cutting-edge research at the intersection of brain-inspired machine learning and next-generation hardware concepts. Applicants should have experience in machine learning, computer science, physics, electrical engineering, neuromorphic engineering or similar field. You should have good communication skills in both spoken and written English and be able to work independently as well as in a team. For further information on specific doctoral training, see curricula for doctoral studies in the Faculty of Engineering Information about the 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: Luleå. Intended start date: by agreement. For further information, please contact (preferably by e-mail to both contact persons): Professor Marcus Liwicki, 0920-49 1006 marcus.liwicki@ltu.se, Professor Fredrik Sandin, 0920-49 3163 fredrik.sandin@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 cover letter, CV/resume and copies of verified diplomas. Please mark your application with the reference number below. Both the application and the diplomas must be written in Swedish or English. Deadline for applications: August 17, 2025 Reference number: 2955-2025