[DMANET] PhD position in machine learning at KTH (Sweden)

We invite applications from talented and highly motivated candidates to pursue a PhD degree in machine learning. The research team focuses on developing novel methods to extract knowledge from data, modelling large-scale complex systems, and exploring new application areas in data science. Areas of interest include but are not limited to models and algorithms for knowledge discovery, novel algorithmic and statistical techniques for big data management, optimization for machine learning, analysis of information and social networks, fairness, accountability, and transparency in learning systems.

Applicants must hold a Master's degree by the time of enrollment. Successful candidates should be highly self-motivated and committed to publishing and presenting high-quality research. Solid background in algorithms design, machine learning, and optimization is essential, along with strong programming and implementation skills.

The advertised position is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.

Supervision: Aristides Gionis (KTH)

Applications must be made online through the KTH job portal. Full position details, including how to apply online can be found at:

https://www.kth.se/lediga-jobb/898611?l=en

The deadline for online applications is March 5, 2026.
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