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EASP – European Association of Social Psychology

2 PhD Positions in Data-driven Agent-based Modeling of Social Influence and Attitude Dynamics

26.03.2019, by Tina Keil

Jacobs University, Germany

For an Open Area Research (ORA) Project funded by Deutsche Forschungsgemeinschaft (DFG), Jacobs University and partner organizations in France, the Netherlands, and the United Kingdom seek to fill two PhD Positions in Data-driven Agent-based Modeling of Social Influence and Attitude Dynamics (65% working time, limited for 3 years).

Candidates are expected to apply for enrolment as Affiliated Fellows in the Bremen International Graduate School for Social Sciences (BIGSSS) at Jacobs University, starting Sep 1, 2019.

Jacobs University Bremen is a private, English-medium campus university, which is state-recognized by the State of Bremen. We are offering Bachelor, Master or PhD programs in three focus areas: Health, Mobility and Diversity. Our principles are first class research and teaching, international diversity and transdisciplinary cooperation. As an international university we attract highly talented and open-minded students from all over the world. Currently, approximately 1,400 students from 110 nations live and study on our residential campus.

Research Topics:
Recently, many societies shifted towards more polarization and volatility in opinions, for example in attitudes about immigration or climate policy, but underlying reasons are poorly understood. A key obstacle is that opinion dynamics in society involve a complex micro-macro interaction between fundamental interpersonal processes of social influence, meso-level conditions like network structures, and macro-level outcomes, like polarization in opinion distributions. Agent-based simulation models (ABM) offer powerful tools to bridge theoretically micro-level processes and macro-level dynamics.

The PhD projects will be concerned with the development, analysis, and validation of agent-based based models of attitude dynamics. Large-scale international surveys will be used for an initial data exploration as well as for validation of models. An introduction to the research topic can be found in the publication

Further details and information on how to apply can be found here: