University Lecturer 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 from 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, multi-billion investments will be made in Norrbotten and Västerbotten in large projects aimed at 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 that you will help us build the sustainable companies 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 analysis. The group is expanding with new teaching and is now offering a position as a university lecturer.

Read more about machine learning here (https://www.ltu.se/en/research/research-subjects/Machine-Learning).

Subject Description

Machine learning focuses on computational methods through 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 education that the machine learning group has developed. Assist in teaching (e.g., Brain Analysis focusing on machine learning, Neural Networks and Learning Machines, Introduction to AI). You will collaborate in writing research proposals and scientific articles.

Responsibilities

Employment in projects focusing on applied AI, particularly deep learning in the field 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 material on social media, improve video materials, assist with labs and assignments in AI-related courses (e.g., Brain Analysis focusing on machine learning, Neural Networks and Learning Machines, Introduction to AI).

Qualifications

A bachelor's degree in electrical engineering is required for the university 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 in MRI data collection, and have supervised labs in higher education. Previous experience in writing research proposals is also welcomed. Knowledge of MATLAB, Python, and the programming language C is required.

Additional Information

Part-time. Location: Luleå. Start date: January 2026.

For further information about the position, please contact Marcus Liwicki, 0920-49 1006, [email protected].

Union representatives: SACO-S Diana Chroneer, (+46)920-49 2037 [email protected] or OFR-S Lars Frisk, (+46)920-49 1792 [email protected].

Application

We prefer that you apply for this position by clicking the application button below. The application should include a CV, cover letter, and copies of certified transcripts from high school and university. Mark your application with the reference number below. Your application, including transcripts, must be written in English or Swedish.

Reference number: 6015-2025
Application deadline: December 15, 2025