The research
We are looking for postdoctoral researchers to join our team to investigate the spread of COVID-19 in interaction with the so called “infodemic”. We aim to get a deeper understanding of the coupled dynamics of infectious disease spread with information, awareness, opinions, and behavior. These results may also play a role in informing health policies. We are a highly active team of physicists working in close collaboration with epidemiologists, social scientists, and others. Our open positions are embedded within a growing research initiative together with the groups of Calero Valdez (University of Lübeck), Kretzschmar (University Medical Center Utrecht), Mäs (Karlsruhe Institute for Technology), and Nagel (Technical University Berlin). Please check our GitHub page and our prior work (Contreras et al., Nature Communications 2021, Dehning et al., Science 2020, Doenges et al., Frontiers in Physics 2022, Keijzer and Mäs, Online Social Networks and Media 2021).

Your profile
We are looking for excellent, enthusiastic and self-motivated researchers with strong analytical and/or programming skills to join our research team. You should hold a PhD with experience in quantitative sciences, e.g. physics, statistics, social science, mathematics, machine learning, or related fields. The position requires a solid background or a strong interest in dynamical systems and/or statistical data analysis, especially Bayesian inference. Fluency in both written and spoken English is required; German is an asset but not required. Given outstanding qualification, the position offers the opportunity to develop an independent research profile and shape future research directions. Please outline your programming and analytical skills, your past scientific achievements, as well as the research questions you are most interested in. Enthusiastic researchers with any background, gender or ethnicity are warmly welcome to apply.