Junior Research Engineer in Machine Learning

Luleå University of Technology is experiencing strong growth with world-leading expertise in several research areas. We shape the future through innovative education and groundbreaking research results, and based in the Arctic region, we create global societal 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 nearly 2.1 billion SEK per year. We currently have 1,900 employees and 18,700 students.

In the coming years, billions of SEK will be invested in Norrbotten and Västerbotten in large projects aimed at creating a more sustainable society both nationally and globally. Luleå University of Technology is involved in several of these highly relevant research projects and the societal transformation that follows. We have a wide range of educational programs to match the skills that are in demand. We hope you want to help us build the sustainable companies and societies of the future.

The Machine Learning Research Laboratory, led by Professor Marcus Liwicki, is now announcing 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 as a junior research engineer.

Project Description

In recent years, large language models (LLMs) and foundational models have become central tools for enabling 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 methods, particularly LLM-based systems, are explored and implemented to support teaching, learning, and educational innovation.

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-driven 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 supervising 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 for employment as a research engineer is someone who has completed 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 pipeline technologies are meritorious. Experience in teaching or assisting in higher education is also meritorious.

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, particularly in AI applications or educational innovation.
• Practical experience in software development, prototype development, and working with students.
• Good ability to express oneself verbally and in writing.
• Ability to collaborate in interdisciplinary environments and contribute to educational development.

Information

The position is full-time for one year. Location: Luleå. Expected start date: February 1, 2026.

For more information, contact: Associate Professor, Hamam Mokayed, 0920-492075, [email protected]

Union representatives: SACO-S Diana Chroneer, 0920-49 2037 [email protected] OFR-S Marika Vesterberg, 0920-49 1721 [email protected]

Application

We prefer that you apply for the position via the application button below, attaching a personal letter and CV/resume along with copies of verified degree certificates. Please label your application with the reference number below. Both the application and degree certificates should be written in Swedish or English.

Application deadline: January 30, 2026
Reference number: 363-2026