진학프로석·박사 채용 접수 플랫폼

Key to our collaborative efforts is a common source base. This enables deep collaborative work, as individual projects and entire work packages gain access to data they could not otherwise have accessed or understood, and is vital to tackle a global subject over a longer time-period. As postdoctoral researcher, you will enrich collected data by developing machine learning-assisted (1) OCR/HTR-postcorrection models and (2) multilingual entity linking. You will employ natural language processing and network analysis to extract potentially meaningful organisational, spatial, rhetorical patterns. A basic project database, based on Paperless/NGX (https://docs.paperless-ngx.com/) has already been set up.

As a postdoctroral researcher you will work closely with the University of Amsterdam-based PI, Samuël Kruizinga, as well as the other BLOCKADE PIs, professors Alan Kramer (Hamburg), Elisabeth Piller (Freiburg) and Jonas Scherner (Trondheim), with project Expert Partner professor Julia Noordegraaf, and with the other PhDs and postdoctoral researchers of the project. The postdoctoral researcher will be embedded with CREATE (https://aihr.uva.nl/humanities-labs/create/about-create.html) and benefit from its infrastructure and collegial support, as well as those of the other Humanities Labs at the University of Amsterdam.