6 December 2021
The university appoints Vice-Rector for Applied AI
Luleå University of Technology appoints a Vice-Rector in Applied AI. – We want our region to become a sustainable flagship in applied AI on both national and EU level, says Marcus Liwicki, Professor of Machine Learning and newly appointed Vice-Rector of Applied AI.
As Vice-Rector in Applied AI, Marcus Liwicki will synchronize all the AI efforts at all the departments at the university and lead the university towards a joint vision and strategy. From Marcus Liwicki’s perspective, this means that Luleå University of Technology will become one of Sweden’s top universities in Applied AI.
– We will offer various specialized master programmes and life-long learning opportunities for Applied AI. We will attract national and international funding and become the key player in attracting strong AI researchers and innovators to the north.
The Vice-Chancellor of Luleå University of Technology, Birgitta Bergvall-Kåreborn, agrees on this perspective.
– Appointing a Vice-Rector for Applied AI is a signal, internally and externally, that the university considers this subject area as very important for the entire university, Birgitta Bergvall-Kåreborn says.
Many years of competence
There is already a range of activities and research related to AI at Luleå University of Technology, within diverse subject areas such as mining, health, entrepreneurship, maintenance, and robotics.
– We have a core of research groups working on fundamental AI research, dozens of research groups working with Applied AI, and hundreds of researchers applying AI in their research and innovation projects together with more than 100 partners from industry, says Marcus Liwicki.
Together with RISE Research Institute of Sweden, Luleå University of Technology owns one of Sweden’s biggest GPU computations clusters: four NVIDIA DGX clusters and more than one million Cuda cores. On the education side, there is both a national and an international master programme in Applied AI.
The Vice-Rector position is one of many strategical steps towards a concentration of the university’s collective competence within Applied AI. The Department of Computer Science, Electrical and Space Engineering leads the investment. Except from creating an internal cluster, the investment aims at creating new collaborations and to expand our understanding of how and for what we can use AI today and in the future.
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