Education

The laboratory's educational activities include organising and conducting:

• Regular scientific seminars and workshops discussing cutting-edge developments in big data analysis methods published in leading journals and developed in our laboratory.
• International summer and winter schools for master’s and PhD students where we provide insights into the application of methods in domain-specific areas. Currently, the laboratory conducts three yearly summer schools for High-Energy Physics, Material Science, and Engineering students.
• Mentoring undergraduate and master's theses, during which students become familiar with cutting-edge methods and approaches to big data processing today and refine these approaches for their chosen subject areas.

Postgraduate students from other universities can also arrange internships for students, who can come for several months to conduct joint research.