Doctoral student in machine learning

Project description

Third-cycle subject: Computer science

We invite applications from talented and highly motivated candidates to pursue a PhD degree in machine learning. The successful candidate will be supervised by professor Aristides Gionis (). 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 of Science 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 algori...