Postdoc in Historical NLP & Medieval Philology

Inria Paris

Paris

On-site

EUR 42,000 - 56,000

Full time

11 days ago

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Job summary

Inria Paris, within ALMAnaCH, invites applications for a postdoctoral researcher position to study editorial normalisation and its effect on Old French dialectometry within ROMAM². You will build gold data, align graphemic transcriptions with TEI-annotated corpora, and supervise annotation work.

The position is for 18 months, starting March 2027, under supervision of Thibault Clérice, with collaboration across NLP, digital humanities and philology.

Qualifications

  • PhD in philology or historical linguistics is required.
  • Strong knowledge of Old French is required.
  • Training in palaeography and XML-TEI is required.
  • Ability to do statistics and to program in Python or R.

Responsibilities

  • Carry out research on ROMAM² theme outlined in the job description, developing ideas and validating methodology via corpus construction, experiments and analysis.
  • Produce and release open, reusable datasets in XML-TEI using the TEI NCA sample with abbreviation annotation and gold PEN data.
  • Work closely with the PhD candidate to support model development and evaluation.
  • Collaborate with external experts and with the ANR Phil•IA project on philological and NLP evaluation frameworks.
  • Supervise annotation work and ensure linguistic and editorial quality of gold data.
  • Present work internally and externally in NLP and humanities venues; organize project workshops.

Skills

Palaeography
Strong knowledge of Old French
Programming (Python or R)
Statistics

Education

PhD in philology or historical linguistics

Tools

XML-TEI

Job description

Inria Paris, within ALMAnaCH, invites applications for a postdoctoral researcher position to study editorial normalisation and its effect on Old French dialectometry within ROMAM². You will build gold data, align graphemic transcriptions with TEI-annotated corpora, and supervise annotation work.

The position is for 18 months, starting March 2027, under supervision of Thibault Clérice, with collaboration across NLP, digital humanities and philology.

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