research project "Modeling, analyzing, and learning from mechanisms of
community building in networks" ***
At the core of the project 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
* Demonstrated 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:
https://karriere.jku.at/hcm/jobexchange/showJobOfferDetail.do?jobOfferId=0cce88bc8f5713d30190028afad134ab&j=&languageChanged=true
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