PhD Student 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.

The Machine Learning Group at Luleå University of Technology is looking for a doctoral student focusing on the next generation of sustainable artificial intelligence (AI) technologies, based on hardware inspired by the structure and function of the brain for superior energy and latency performance in embedded and human-centric applications. We offer well-equipped laboratory facilities for research and a good inter-disciplinary academic network in Sweden and abroad. 

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. 

Project description
As a doctoral student, you will be part of the MARTINA project and will explore the application of co-design optimized machine learning and neuromorphic solutions for applications that are challenging to address using conventional technology. This project drives innovation and development forward through applied AI and advanced digitization, to strengthen the competitiveness of the region's small and medium-sized companies. 

Duties
As a PhD student you are expected to perform both experimental and theoretical work within your research studies as well as communicate your results at national and international conferences and in scientific journals. Most of your working time will be devoted to research studies. In addition, you will have opportunities to get experience of teaching relevant courses. 

Qualifications
We are looking for an ambitious doctoral student who wants to conduct state-of-the-art research at the crossroads of brain inspired machine learning and next-generation hardware concepts. Candidates should have experience of machine learning, computer science, physics, electrical engineering, neuromorphic engineering, or a similar field. You should have good communication skills in both spoken and written English and have the capacity to work independently as well as in teams. 

For further information about a specific subject see
General syllabus for the Board of the faculty of science and technology  

Further information
Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: By agreement 

For further information about the position, please contact (best via email to both contacts) Professor Marcus Liwicki, (+46) 920-49 1006, marcus.liwicki@ltu.se , Professor Fredrik Sandin, (+46) 920-49 3163, fredrik.sandin@ltu.se  

Union representatives:
SACO-S Diana Chroneer,(+46 )920-49 2037 diana.chroneer@ltu.se
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. 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: August 17, 2025
Reference number: 2955-2025

URL to this page
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