Data Scientist in Explainable Machine Learning

1 day ago


Stockholm, Stockholm, Sweden Karlstad University Full time

We are seeking a highly qualified and motivated individual to pursue a PhD in the area of machine learning with focus on explainable clustering. The prospective PhD student will join a research team at KTH led by Professor Aristides Gionis.

Key Responsibilities
  • To develop novel methods to extract knowledge from data, modeling large-scale complex systems, and exploring new application areas in data science.
  • To work on 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.

The position is funded by the Swedish Research Council (VR).



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