Senior Lecturer in Machine Learning

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.

Luleå University of Technology (LTU) is one of Sweden’s leading universities in the area of Machine learning, especially in Deep Learning, with a high concentration of ELLIS (European Laboratory for Learning and Intelligent Systems) researchers, as well as unique labs 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 and Electrical and Space Engineering at Luleå University of Technology, is now looking for excellent researchers contributing to our growing activities. The ML team is conducting fundamental research machine learning for the welfare of the society with a specific 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 individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment and part of a newly established research center RECAT, focusing on battery research and building an excellent leading competence across disciplines in Sweden.

To strengthen our team in AI for battery research, we now recruit an excellent researcher in AI and Machine Learning for battery research, with particular emphasis on: 

• Foundational aspects of AI/ML methods for battery research
• Natural and technical language processing for application-relevant battery industry
• Jointly with other researchers of the center establish excellent educational activities

Subject description
Machine learning focuses on computational methods by which computer systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications.

Duties
Senior Lecturer must be involved in education, educational development and research at the University. Senior Lecturer must also keep updated of the international development of the subject and supervise doctoral students. Senior Lecturers are expected to contribute to the University's development, to work for obtaining external funding to the subject and to be available for managerial and administrative tasks.

The duties of Senior Lecturer also include managing research projects, communicating the outcomes via academic publications and being active in the research community within their own subject.

Furthermore, the Senior Lecturer is expected to collaborate with other researchers of the RECAT project as well as industrial partners. The Senior Lecturer will be given opportunity to develop their independence as researcher and gain accreditation that may allow them to take other teaching positions with higher eligibility requirements.

Qualifications
To meet the requirements for the appointment as senior lecturer, the applicant:

• must have been awarded a doctoral degree or must have the corresponding academic competence or other professional expertise that is valuable for the appointment;
• must demonstrate pedagogical expertise by means of proven experience, teaching expertise and teaching development
• must have completed higher education pedagogy courses equivalent to 7.5 higher education credits or otherwise have acquired equivalent knowledge.

Assessment criteria
The following assessment criteria apply to this position:

• research expertise
• teaching expertise
• other assessment criteria.

Other assessment criteria (in order of importance):

• University degree in Physics, or equivalent academic background, is preferred.
• Research expertise in AI and Machine Learning for Industrial Applications, particularly in Large Language Models, Technical Language Processing, explainable and interpretable AI, preferably some evidence of expertise in battery research.
• Experience in foundational and applied research, demonstrated by publications in leading AI/ML venues as well as application-oriented conferences and journals.
• Experience working with different modalities, including text, images, and domain-relevant data.
• International research experience, interdisciplinary collaborations and mobility.
• Teaching expertise, including course delivery and contributions to course planning.

Information
The position is a permanent full-time employment located in Luleå. Start date by agreement.

For further information about the position, please contact: Professor/Head of subject Marcus Liwicki (+46)920–49 1006, marcus.liwicki@ltu.se , and representing person from the RECAT, Martin Karlsson at LTU martin.karlsson@ltu.se .   

Union representatives: SACO-S Diana Chroneer,(+46 )920-49 2037 diana.chroneer@ltu.se , and OFR-S Marika Vesterberg, (+46)920-49 1721 marika.vesterberg@ltu.se . 

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 and attach the requested application documents including diplomas (certified and translated into Swedish or English), pedagogical self-reflection and publications, etc. We prefer that applicants follows the Instructions for applicants . Note that the applicant´s educational qualifications should be particularly documented. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.

Final day to apply: 18 February 2026
Reference number: 1544-2026

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