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 SEK 2 billion per year. We are currently 1,500 employees and have 17,900 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. In the subject of machine learning, we are now looking for a PhD student who wants to conduct research at the intersection of music and AI and study the effect of musical performance on humans and how we can use machine learning to improve education, musical performance and recording. Topic 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 a project that aims to explore the application of machine learning in music, to study the effect of musical performance on humans, and to investigate how machine learning can be used to improve education, musical performance and recording. You will also be involved in the MARTINA project. This project is pushing innovation and development forward through applied AI and advanced digitization, to strengthen the competitiveness of the region's SMEs. In the framework of this PhD position, the companies would be in the fields of arts (music) and/or education. Duties and responsibilities As a PhD student, you will be expected to carry out both experimental and theoretical work within your research studies and to present your results at national and international conferences and in scientific journals. Most of your working time will be devoted to your own research studies. You will also have the opportunity to gain teaching experience. Qualifications We are looking for a highly motivated and enthusiastic PhD student who wants to conduct cutting-edge research at the intersection of music and AI. The ideal candidate should have experience in both computer science and music. In addition to the standard qualifications required for a PhD position in machine learning, priority will be given to applicants with a Master's degree in music performance, either vocal or instrumental, or in other music research disciplines. You should have good communication skills in both spoken and written English and have the ability to work independently as well as in teams. For further information on specific doctoral training see curricula for doctoral studies in the Faculty of Engineering Information to be provided Employment as a PhD student is limited to 4 years, teaching and other institutional tasks can be added with a maximum of 20%. Start: As soon as possible or as agreed. Location: Luleå. For further information, please contact Professor Marcus Liwicki, 0920-49 1006 marcus.liwicki@ltu.se and Dr. Andras Bóta, andras.bota@ltu.se Trade union representative: SACO-S Diana Chroneer, 0920-49 2037 diana.chroneer@ltu.se OFR-S Lars Frisk, 0920-49 1792 lars.frisk@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: February 17, 2025 Reference number: 444-2025