We are seeking, starting 1 March 2024, a highly motivated candidate for a 1-year postdoc position in the area of NLP and Linked Data within the project TextEnt (Textual Entities in Time). The successful candidate will be part of the Digital Humanities Unit at the University of Geneva and jointly supervised by Simon Gabay (Textual Data, Computational Philology) and Nicola Carboni (Linked Data, Graph Analytics).
Working conditions:
- Contract duration: 1-year contract
- Wage: CHF 78’625 (~82’000 €)
- Remote work: to be discussed
- Experience: PhD, 5 years maximum after the viva
- Starting date: March 1st
Tasks:
- Corpus building: constitution of a corpus (c. 5,000 documents in Historical French) from existing digital libraries, (ii) extraction of the information with HTR, (iii) encoding in TEI. Data and HTR and layout analysis models are provided.
- Geographic entities: recognition and extraction from the retrieved corpus of referenced entities (current, historical and imaginary). Data and NER models are provided.
- Reconciliation: development of a novel knowledge-driven pipeline for linking identified geographical entities with their corresponding historical entity retrieved by a list of public Knowledge Graphs (e.g. Wikidata). To be built from scratch.
- Analysis: development of methodologies for the quantification of the impact in time of geographic entities through the analysis of their spatial and historical dimension.
See this link for more details about the project, the skills required and the application procedure:
Applications may be submitted before January 15th in either French or English to simon.gabay@unige.ch and nicola.carboni@unige.ch and should include:
- Curriculum Vitae, with a complete list of publications;
- a statement (max 2 pages) of why you are the ideal fit for the position;
- One paper you (co-)wrote;
- additional documents to support your application (e.g. portfolio), including the names and contact details of two references.