At its core is the development of a transdisciplinary understanding of the mechanisms resulting in community formation in networks via network analysis (community detection), agent-based modeling for complex systems (non-equilibrium thermodynamic techniques) and the historical role of network theory. The project will be jointly supervised by researchers from three different disciplines - Sophie Parragh (Operations Research), Kurt Hingerl (Physics), and Clemens Apprich (Media Theory).

Your qualifications and background:

• A Diploma/Master’s degree in mathematics, theoretical physics, operations research/analytics, statistics, computer science/artificial intelligence or a related discipline with formal orientation (completed until October 2024)
• Experience in at least one of the following areas: Modeling and analysis of networks; Modeling of complex systems; Agent-based methods 
• Demonstrate strong motivation to conduct inter- and transdisciplinary research
• Willingness to analyze the subject of research from a theoretical as well as from a historical perspective
• Programming skills (Python/C++/Julia)
• Excellent written and spoken English skills (min. Level C1)

The PhD position is part of the Art x Science School for Transformation. The Art x Science School for Transformation is currently offering five PhD positions in different subject areas. A JKU professor will be responsible for the primary supervision of the theses, while a professor from the University of Applied Arts Vienna will be responsible for the second supervision. 

Further information and application: here, opens an external URL in a new window