Arbetsbeskrivning

Luleå University of Technology is in strong growth with world-leading competence in several research areas. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. 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 nearly SEK 2,1 billion per year. We currently have 1,900 employees and 18,700 students. In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.The Machine Learning Research Laboratory, chaired by Professor Marcus Liwicki, has an open position in the field of Machine Learning with a focus on Applied Artificial Intelligence (AI). The group is expanding with new projects, teaching and collaborations and is now offering a position as a Junior Research Engineer. Project description In recent years, large language models (LLMs) and foundation models have become central tools for enabling advanced reasoning, text generation, and multimodal understanding. Applied AI takes these technologies out of the laboratory and turns them into pedagogical, industrial, and societal solutions. The position is situated within the intersection of AI and education, where novel machine-learning methods, particularly LLM-based systems, are explored and implemented to support teaching, learning, and educational innovation. Duties • Working on research and development projects related to applied AI for education, with a strong focus on designing, integrating, and evaluating LLM-based pedagogical tools (e.g., within AI4Edu and similar initiatives). • Implementing prototypes and software solutions that support intelligent tutoring, personalized feedback, automated assessment, and other AI-driven educational applications. • Developing APIs, pipelines, and integration layers between LLMs and learning platforms (e.g., LMS, interactive learning tools, digital course environments). Qualifications To be eligible for employment as a research engineer, you must have completed a relevant education in artificial intelligence or computer science. Documented skills in programming (e.g., Python), machine-learning frameworks, and practical work with LLMs or AI toolchains are strong merits. Assessment Criteria The following assessment criteria apply to the position: • Scientific and technical expertise in machine learning, natural language processing, LLM integration, and AI-driven educational technologies. • Experience working in research or development projects, particularly those related to AI applications or educational innovation. • Practical experience in software development, prototyping, and working with students in lab- or project-based environments. • Ability to collaborate within interdisciplinary teams and contribute to pedagogical experimentation and educational research. Information Full-time fixed term for 1 year. Placement: Luleå. Starting: February 2026 For further information, contact: Hamam Mokayed, Associated Professor, 0920-492075,  [email protected] Union representatives: SACO-S Diana Chroneer,(+46 )920-49 2037 [email protected] OFR-S Marika Vesterberg, (+46) 920-49 1721 [email protected] In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence Application We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: 30 January 2026 Reference number: 363-2026