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A prominent research institute in Germany seeks a postdoctoral researcher to advance methodologies in Historical Linguistics using AI. The ideal candidate will have a PhD in a related field, strong computational skills, and experience in interdisciplinary environments. This position offers a competitive salary and benefits including generous leave. Apply by submitting your application online.
Max Planck Institute for Evolutionary Anthropology
Postdoctoral researcher (m/f/d) | Historical Linguistics and the development of AI assisted methodology
The Max Planck Institute for Evolutionary Anthropology (MPI EVA) 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.
Apply anytime. Open until filled.
The Department of Linguistic and Cultural Evolution (DLCE) is looking to fill a two-year postdoc position in the field of Historical Linguistics at the crossroads with AI modelling.
Are you a historical and/or computational linguist with a good understanding of traditional comparative historical linguistics? Are you interested in what AI can bring to the table and have a good grasp of these technologies? Then you might be the right candidate for this job!About DLCE
The Department of Linguistic and Cultural Evolution aims to answer big picture questions about the evolution of language and culture. Our focus is on describing and explaining the major patterns of linguistic and cultural variation across the globe. We tackle these questions by developing novel language documentation methods, global linguistic and cultural databases, and analyses using evolutionary theories and computational methods.
Why "AI assisted Historical and Comparative Linguistics"?
This project aims to investigate the potential of artificial intelligence (AI), e.g. large language models, to assist and enhance research in historical linguistics. The project will focus on developing AI tools designed to support linguists in handling vast amounts of historical linguistic data, facilitating tasks such as tracking phonological, syntactic, and semantic changes over time, inferring cognates and constructing language phylogenies. By offering more efficient methods for processing large, complex datasets, these AI-powered tools will allow researchers to uncover patterns and trends that may not be easily detectable through manual analysis alone. The emphasis will be on using AI to complement the knowledge and interpretive skills of historical linguists, empowering them to make more informed inferences and pursue new lines of inquiry.
Selection Criteria