Postdoctoral Researcher in Multilingual Historical Text Analysis
4 days ago
We are seeking a highly qualified Postdoctoral Researcher to join our interdisciplinary team at the Saxo Institute, Faculty of Humanities, University of Copenhagen (UCPH). The successful candidate will have a strong background in Natural Language Processing (NLP) and a keen interest in applying their expertise to collaborative historical research on Atlantic colonial history.
The position is a full-time, fixed-term appointment for 2 years, starting from 1 January 2025, or as soon as possible thereafter. Our team works on advancing our understanding of the diachronic development of gendered and racialized language in historical documents produced between 1600 to 1900.
As a Postdoctoral Researcher, your primary role will be to develop and implement NLP methodologies that can aid the team in effectively retrieving, processing, analyzing, and interpreting relevant historical documents. These documents are available as scans of printed originals and were written in several languages.
The ideal candidate will be someone enthusiastic about overcoming the challenges imposed by this type of textual data. You will collaborate with historians, computational linguists, or digital humanities researchers to ensure the successful integration of NLP techniques into historical research.
Key responsibilities include:
- Developing and applying NLP methodologies to historical texts in multiple languages
- Collaborating with researchers from diverse backgrounds to integrate NLP techniques into historical research
- Publishing research findings in peer-reviewed journals and presenting at international conferences
Required qualifications and skills:
- A Ph.D. in Computer Science, Computational Linguistics, Computational Social Science, or a related field with a focus on NLP
- Demonstrated expertise in key NLP methodologies, including text preprocessing, OCR post-correction, named entity recognition, part-of-speech tagging, syntactic and semantic parsing, machine learning approaches, deep learning techniques, information retrieval, sentiment analysis, and topic modeling
- Familiarity with historical textual data and willingness to tackle challenges specific to this domain, such as handling archaic language, dealing with OCR errors, contextualizing historical events, and ethically handling racialized and gendered language
- Proficiency in Python and other relevant programming languages, experience with NLP libraries and frameworks like NLTK, spaCy, TensorFlow, PyTorch, or similar
- A strong publication record in NLP and computational linguistics conferences and journals
- Familiarity with historical research methodologies and sources
- Experience with collaborative, interdisciplinary research environments
- An understanding of and commitment to incorporating perspectives from critical race theory, gender studies, and global history into research on NLP for historical textual data
- Familiarity with languages other than English used in the Atlantic colonial context
Our team offers a dynamic and inclusive work environment, with opportunities for professional growth and collaboration with leading researchers in the field. We encourage all qualified candidates to apply.
Estimated salary: €55,000 - €65,000 per annum, depending on qualifications and experience. Benefits include a comprehensive pension scheme, paid vacation, and access to the university's facilities and resources.
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