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, led by Professor Marcus Liwicki, has opened a position in the field of machine learning with a focus on applied artificial intelligence (AI) and brain analytics. The group is expanding with new teaching and now offers a position as a lecturer. Read more about, https://www.ltu.se/en/research/research-subjects/Machine-Learning Subject description Machine learning focuses on computational methods by which computer systems use data to improve their own performance, understanding, and to make accurate predictions, and has a close connection to applications. Project description You will be part of a team teaching machine learning. Your goal will be to develop, improve and update course materials using flexible micro-modules in AI teaching developed by the machine learning group. Help as an assistant in teaching (e.g. Brain analysis with a focus on machine learning, Neural networks and learning machines, Introduction to AI). You will collaborate in the writing of research applications and scientific papers. Duties and responsibilities Employment in projects focusing on applied AI, especially deep learning in the area of pattern recognition (e.g. computer vision, physiological signals, brain imaging data, supervised and unsupervised learning). Assist in teaching, help curate and collect brain imaging data. Publish social media materials, enhance video materials, assist with labs and assignments in AI-related courses (e.g. Brain Analysis with a focus on Machine Learning, Neural Networks and Learning Machines, Introduction to AI). Qualifications A Bachelor's degree in Electrical Engineering is required for the Lecturer position. To be eligible, you must have a master's degree in biomedical engineering. It is an advantage if you have been a teaching assistant in higher education, have experience with MRI data collection and have supervised laboratory work in higher education. Furthermore, previous experience in writing research proposals is welcome. Knowledge of MATLAB, Python and the C programming language is required. Additional information Part-time. Location: Luleå. Access: January 2026. For further information about the position, please contact Marcus Liwicki, 0920-49 1006, marcus.liwicki@ltu.se. Trade union representatives: SACO-S Diana Chroneer, (+46)920-49 2037 diana.chroneer@ltu.se or OFR-S Lars Frisk, (+46)920-49 1792 lars.frisk@ltu.se. How to apply We prefer that you apply for this position by clicking on the application button below. Applications should include a CV, a covering letter and copies of certified secondary school and university transcripts. Please mark your application with the reference number below. Your application, including certificates, must be written in English or Swedish. Reference number: 6015-2025 Deadline for applications: December 15, 2025