from May 1st, 2021 for a maximum of three years, with a contract according to the TVöD-Bund pay scale (E13) for research in (given the final approval) the BMBF project
Socio-epistemic networks: Modelling historical knowledge processes
The research project aims to model historical developments of knowledge systems by combining the analysis of semantic changes with their coupling and feedback to sociological and institutional changes. The successful candidate will work on developing analysis methods for the historical time-dependent complex multilayer networks that result from historical case studies. To complement the existing research team, the successful candidate should have a strong focus on multilayer network analysis, complex systems analysis, or related topics in their previous research experience.
PhD in Computer Science with a focus on complex systems theory or related fields (physics, mathematics, digital humanities, etc.);
Fluent programming skills in Python
Knowledge of graph databases (RDF, SPARQL)
Unix/Linux operating system
Interest in interdisciplinary research at the intersection of computer science, history, and mathematics. The PhD should have been completed by the beginning of the project.
What we offer:
100% TVöD (Bund) E13 for a maximum of three years
Creative work environment in a world class research institution
Independent research in an international team
How to apply:
The Max Planck Society aims to increase the proportion of women in those areas in which they are currently underrepresented. We therefore specifically encourage women to apply. The Max Planck Society is committed to employing more disabled individuals, and applications from disabled people are especially welcome. The application should contain a summary of the PhD project, a list with at least one referee who will be contacted if the candidate is shortlisted, a CV including a selection of publications and a short letter of motivation.
Candidates are requested to submit their applications via our online portal: