Welcome!
The Paleoanthropology Society was founded in 1992. It recognizes that paleoanthropology is multidisciplinary in nature and the organization's central goal is to bring together physical anthropologists, archaeologists, paleontologists, geologists and a range of other researchers whose work has the potential to shed light on hominid behavioral and biological evolution.
News & Announcements
Tübingen Professorship (without tenure) in Primatology
Position starting as soon as possible.
The preferred candidate should have carried out research in primatology, focusing on behavior, ecology, evolution or genetics of non-human primates. Well-documented expertise in comparative primate behavior, anatomy or genetics; quantitative and analytical skills; and relevance of research for human evolution, are expected. Extensive participation and / or experience in leading fieldwork is desired, as is a focus on primates as models for human evolution. The successful candidate will take an active role in the excellence cluster “Human Origins,” complementing and expanding on existing strengths. Potential research directions include, but are not limited to, non-human primate evolution, phylogeny, ecology, communication, tool use, life history or cognition.
Tübingen Tenure-Track Professorship in Evolutionary Modelling
The preferred candidate should have carried out research in statistical modelling of human fossil, molecular, cultural and / or environmental data. Candidates are expected to have a strong background in evolutionary theory and in computational approaches to human bio-cultural diversity and evolution. The successful candidate will take an active role in the Excellence Cluster “Human Origins”, complementing and expanding on existing strengths, including new quantitative methods for exploring broader evolutionary time scales. Ideally, they will link with existing strengths of the University of Tübingen in Computer Sciences and Machine Learning. Potential research directions include, but are not limited to, phylogenetic, demographic, ecological and biogeographic modelling, ideally with the use of innovative computational methods (e.g. agent-based and predictive modelling, bioinformatics). Relevance of research to human evolution is required.