Post-Doc : Modelling and data science (Jena)

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The overarching research topic is to understand pan-African processes of early human cultural evolution, demography and dispersal through fieldwork, lab work and computational modelling. The candidate’s role will be twofold. Broadly, the candidate is expected to assist team members with general statistical and modelling issues. Secondly, and more specifically, the candidate will be expected to lead their own research programme conducting model-based testing of relevant hypotheses and associated analyses. The ideal applicant will have a computational background, e.g. in computer science, statistics or physics, or a strong track record of having applied methods from these areas to anthropological and archaeological questions (e.g. Agent Based Modelling). In depth knowledge of statistical data analysis and modelling and interest to creatively apply these skills are essential. Interest (but not necessarily experience) in human evolution and its relationship with culture and environment is a prerequisite. Prior experience with archaeological, climatic and cultural data and their multivariate analysis, e.g. in an Approximate Bayesian Computation framework, are a plus.

Plus d’informations :
[Website Max Planck Institute for the Science of Human History]