Postdoctoral Researcher in Multilingual NLP for Historical Texts

2 weeks ago


Copenhagen, Copenhagen, Denmark Københavns Universitet Full time

We are seeking a highly qualified postdoctoral researcher to join our interdisciplinary team at the University of Copenhagen's Faculty of Humanities.

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The successful candidate will contribute to advancing our understanding of the intersection between natural language processing (NLP) and historical research, with a focus on multilingual texts from 1600 to 1900.

As a key member of our team, you will be responsible for developing and applying NLP methodologies to aid in the retrieval, processing, analysis, and interpretation of relevant historical documents. This includes overcoming challenges posed by textual data in various languages, such as archaic language, OCR errors, and contextualizing historical events over time.

To excel in this role, you should have a strong background in computer science, machine learning, or computational linguistics, along with a keen interest in collaborating with historians and other researchers to integrate NLP techniques into historical research. You should also be proficient in Python and familiar with relevant NLP libraries and frameworks.

A strong publication record in NLP and computational linguistics conferences and journals is highly desirable. Experience with collaborative research environments and an understanding of critical race theory, gender studies, and global history are also essential for this position.



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