University Lecturer in AI and Machine Learning for Battery Research

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 on 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 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 will help us build the sustainable companies and societies of the future.

Luleå University of Technology is one of Sweden's leading universities in machine learning, particularly deep learning, with a high concentration of ELLIS researchers (European Laboratory for Learning and Intelligent Systems) as well as unique laboratories for field robotics, deep learning, and human-computer interaction. Furthermore, LTU is Sweden's leading university in industrial collaboration.

The Machine Learning (ML) subject at the Department of Computer Science, Electrical Engineering, and Space Technology at Luleå University of Technology is now seeking outstanding researchers who can contribute to our growing activities. The ML group conducts fundamental research in machine learning for the benefit of society, with a particular focus on self-supervised learning, brain signal analysis, and industrial AI.

The ML group is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden's largest single research program to date and a major national investment in strategically motivated basic research, education, and faculty recruitment. The program is also part of the newly established research center RECAT, which focuses on battery research and building leading interdisciplinary expertise in Sweden.

To strengthen our activities in AI for battery research, we are now recruiting an outstanding researcher in AI and machine learning for battery research, with a particular focus on:

• Fundamental aspects of AI/ML methods for battery research
• Natural language processing and technical language processing for applications relevant to the battery industry
• Collaborating with other researchers within the center to establish excellent educational activities

Subject Description

Machine learning focuses on methods by which computer systems use data to improve their own performance, understanding, and to make concrete predictions, and is closely related to applications.

Job Duties

A university lecturer is expected to participate in education, pedagogical development work, and research at the university. University lecturers should also follow the international development in the subject area and supervise doctoral students. University lecturers are expected to contribute to the development of the university, work to obtain external funding for the subject, and be able to take on management and administrative tasks.

The job duties also include leading research projects, communicating research results through scientific publications, and being active within the scientific community in their own subject area.

Furthermore, university lecturers are expected to collaborate with other researchers within the RECAT project as well as with industrial partners. The position offers the opportunity to develop independence as a researcher and to qualify for future teaching positions with higher qualification requirements.

Eligibility

To be eligible for the position of university lecturer, the applicant must:

• Have a doctoral degree or equivalent scientific competence or possess other professional skills that are significant in relation to the position
• Demonstrated pedagogical skills through reflective experience, teaching ability, and teaching development.
• Completed higher education pedagogical training equivalent to 7.5 credits or acquired equivalent knowledge in another way

Assessment Criteria

The following assessment criteria apply to the position:

• Scientific competence
• Pedagogical competence
• Other assessment criteria

Other assessment criteria (in order of priority):

• A university degree in physics or equivalent academic background is advantageous.
• Scientific competence in AI and machine learning for industrial applications, particularly in large language models, technical language processing, and explainable and interpretable AI; experience in battery research is advantageous.
• Experience in both fundamental and applied research, documented through publications in leading AI/ML conferences as well as application-oriented conferences and journals.
• Experience working with various data modalities, including text, images, and domain-specific data.
• International research experience, interdisciplinary collaborations, and mobility.
• Pedagogical competence, including course responsibility and participation in course development.

Information

The position is permanent and located in Luleå. Start date by agreement.

For further information, please contact: Professor/subject representative Marcus Liwicki, 0920–49 1006, [email protected] and representative for RECAT: Martin Karlsson, Luleå University of Technology, [email protected].

SACO-S Diana Chroneer, 0920-49 2037 [email protected] and OFR-S Marika Vesterberg, 0920-49 1721 [email protected].

Application

We prefer that you apply for the position via the application button below, attaching the requested application documents, including degree certificates (certified and translated into Swedish or English), pedagogical self-reflection, and publications, etc. Please follow the link Instructions for Applicants for complete instructions. Please mark your application with the reference number below. Both the application and degree certificates must be written in Swedish or English.

Application deadline: March 18, 2026

Reference number: 1544-2026