The Max Planck Institute for Evolutionary Anthropology brings together scientists from diverse backgrounds (natural sciences and humanities) with the aim of investigating the history of humankind from an interdisciplinary perspective using comparative analyses of genes, cultures, cognitive abilities, languages and social systems of past and present human populations, as well as those of primates closely related to humans.
The Department of Archaeogenetics (www.eva.mpg.de/archaeogenetics) utilizes the recent advances in generating genome-wide ancient DNA data to uncover an entirely new spectrum of information retrievable from anthropological and archaeological collections. This data unlocks fascinating insights into genetic relationships, geographical origin, selective processes, or genetic structure of historic and prehistoric human, plant, animal, or pathogen populations.
The project:
The position will be part of the computational population genetics research group led by Harald Ringbauer. It is supported by the ERC Starting grant EPIDEMIC (see here). You will develop and apply powerful population genetic tools and pioneer linking medieval and modern genomes using shared haplotypes (IBD segments) to study historic European population structure.
Interested candidates should submit their application materials in English, including:
Please apply online via our online application system (link via the job ad on our career website). Only complete submissions via this link will be taken into consideration. Deadline for applications is 15 January, 2025.
The Max Planck Society and the Department of Archaeogenetics of the Max Planck Institute for Evolutionary Anthropology are committed to equal opportunities, diversity, and gender equality. We actively support the compatibility of work and family and have set ourselves the goal of employing more severely disabled people and groups that are underrepresented in science, especially in the given field of activity. Therefore, we explicitly encourage them to apply and welcome applications from all backgrounds.
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