Postdoctoral Position in Machine Learning
Catholic University of Leuven

The Early Modern History Research Group and KU Leuven offer an environment where intellectual creativity and independence thrive. We promote the lively exchange of ideas, and provide strong intellectual, moral, and logistical support to our PhD students, postdocs, and other collaborators. The postdoctoral position is part of the European Research Council project (#101019509) ‘Regionalizing Infrastructures in Chinese History.’ This project examines how large-scale infrastructures such as roads, city walls, and bridges contributed to regional and empire-wide integration, but equally why and how processes of integration regularly broke down, and how large-scale infrastructure projects contributed to countervailing trends including local tensions, local autonomy, and cross-border regional formations. The project aims to 1) map the appearance and disappearance of large-scale infrastructures across the Chinese and neighbouring territories between 1000 and 1800 based on the extant textual and archaeological record; 2) conduct spatial analyses of the distribution of particular features of these infrastructures, their construction, maintenance, breakdown, uses and cultural meanings; 3) compare data derived from the large historical textual record and from modern archaeological reports and the photographic record; 4) publish research in the fields of history, digital archaeology, and critical infrastructure studies that will substantially revise existing Chinese historiographies of communication and urban networks and contribute to emerging historiographies that place socio-economic and cultural developments in regional contexts and cross- border contact zones; 5) develop an event-based digital annotation method that will be generalized and made available for broader use in digital humanities projects in various languages; 6) foster broader debate about the past and present uses and meanings of imperial infrastructures and about the uses of the digitization of material infrastructures.


The postdoctoral fellow will be mainly responsible for 1) developing named entity recognition for infrastructure in Chinese archaeological reports and historical documents; 2) collaborating with a developer and international partners on the further development of the MARKUS platform , esp. a module for machine learning; 3) (co-)authoring articles on machine learning for NER and platform development ; 4) coordinating research and development with other team members.


  • PhD in the field of computer science, digital archaeology, digital humanities, or related field
  • demonstrable advanced knowledge of NLP, machine learning methods, including neural networks
  • an interest in archaeological and historical research
  • a cooperative attitude and willingness to engage in collaborative research
  • good communication skills in English 
  • Chinese language ability is a plus but not required


EMH and KU Leuven offer an environment where intellectual creativity and independence thrive. We promote the lively exchange of ideas, and provide strong intellectual, moral, and logistical support to our PhD students, postdocs, and other collaborators. 
The appointment concerns an employment contract of 1 fte for three years. The start date is October 1, 2022, but the exact start date is negotiable.
Remuneration is in accordance with the official Belgian scales for academic personnel and bursaries, which offer internationally highly competitive pay (see en for more information).


Your application should include:
-a letter of interest explaining how your background matches the criteria and how you aim to contribute to the project
-a CV
- a sample data analytical writing project (ideally with link(s) to project data)
-a copy of your diploma and authorized grade transcript
-two letters of recommendation to be sent to
Interviews will take place in August 2022.

For more information please contact Prof. dr. Hilde De Weerdt, tel.: +32 16 37 71 96, mail:

You can apply for this job no later than May 31, 2022 via the
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at
  • Employment percentage: Voltijds
  • Location: Leuven
  • Apply before: May 31, 2022
  • Tags: Computerwetenschappen
  • Download: file

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