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 1,900 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. The research subject Machine Learning led by Professor Marcus Liwicki with a focus on applied artificial intelligence (AI) is expanding with new projects, teaching and collaborations and is now offering a position as a research engineer. 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. Duties and responsibilities Co-working in projects focusing on applied AI, especially deep learning in the area of Pattern Recognition (e.g., natural language processing, document processing, physiological signals, unsupervised learning, and tinyML). Helping as an assistant in teaching. Posting materials on social media, enhancing video materials and assignments in AI courses. Qualifications To be eligible for employment as a research engineer, you must have a degree in AI, with an advantage if the focus is applied. Experience in teaching in higher education is required. The following assessment criteria apply to the position: - Scientific excellence in the fields mentioned. - teaching experience as an assistant, in machine learning - experience of working in research projects - experience in practical work with students - Good oral and written communication skills. Information to be provided The position is full-time for 10 months. Location Luleå. Access as soon as possible or by agreement. For further information, please contact Professor Marcus Liwicki, 0920-49 1006, marcus.liwicki@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. Reference number: 836-2025 Deadline for applications: March 18, 2025