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 Research Laboratory, led by Professor Marcus Liwicki, is now advertising a position in machine learning with a focus on applied artificial intelligence (AI). The group is growing through new projects, teaching and collaborations and is now offering a position for a junior research engineer. The project description In recent years, large-scale language models (LLMs) and basic models have become central tools to enable advanced reasoning, text generation, and multimodal understanding. Applied AI takes these technologies out of the lab and transforms them into educational, industrial and societal solutions. The position is located at the intersection of AI and education, where new machine learning approaches, in particular LLM-based systems, are explored and implemented to support teaching, learning and educational innovation. Duties and responsibilities - Work on research and development projects in applied AI for education, with a particular focus on designing, integrating and evaluating LLM-based educational tools. - Implement prototypes and software solutions that enable intelligent tutoring, personalized feedback, automated assessment and other AI-powered educational applications. - Develop APIs, pipelines and integration layers between LLMs and learning platforms (e.g. LMS, interactive learning tools, digital course environments). - Contribute to teaching by tutoring labs, assignments and projects in AI and ML courses. - Support course development by improving course materials, assignments and video content. - Contribute to the dissemination of project results through social media, demonstration materials and communication with stakeholders. Qualifications Eligible to be employed as a research engineer is the person who has completed relevant education in artificial intelligence or computer science. Proven knowledge of programming (e.g. Python), machine learning frameworks and practical work with LLMs or AI pipeline technologies is an advantage. Experience in teaching or assisting in higher education is also an advantage. Assessment criteria The following assessment criteria apply to the position: - Scientific and technical competence in machine learning, natural language processing, LLM integration and AI-based educational technologies. - Experience in research or development projects, especially in AI applications or educational innovation. - Practical experience in software development, prototyping and working with students. - Good oral and written communication skills. - Ability to collaborate in multidisciplinary environments and contribute to educational development. Information to be provided The position is full-time for one year. Location Luleå. Intended start date February 1, 2026 For more information, please contact: contact: Assistant Professor, Hamam Mokayed, Assistant Professor, 0920-492075, hamam.mokayed@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: January 30, 2026 Reference number: 363-2026