AI-Researcher on Information Retrieval, Extraction and Matching

Updated: about 2 months ago
Deadline: 10 Sep 2021

(ref. BAP-2021-663)

Laatst aangepast : 23/08/2021

To support a collaborative interdisciplinary project between the Centre for R&D Monitoring ( and the Trismegistos data platform (see, we are currently looking for a AI-researcher for a full-time position starting in Fall 2021 for an envisaged time period of at least one year and a half. Within this period the candidate will have the opportunity to apply for PhD-funding. The Centre for R&D Monitoring (ECOOM) is an interuniversity consortium of which one division is housed within the Faculty of Economics and Business at the KU Leuven. ECOOM develops a consistent system of R&D and Innovation (RD&I) indicators. These indicators are designed to assist the Flemish government in mapping and monitoring the RD&I efforts in Flanders. Within this context, ECOOM is the pre-eminent Flemish site for science, technology and innovation studies, and has become a prominent research centre with international visibility. Trismegistos [TM] is a platform aiming to surmount barriers of language and discipline in the study of texts from the ancient world (roughly BC 800 - 800 AD). The core component, TM texts, currently counts about 1,000,000 entries. When the database was created in 2005, it focused on providing information (metadata) on published documents from Graeco-Roman Egypt, but it has meanwhile expanded to include the material from Scandinavia to Ethiopia and from the Canary Islands to the Indus Valley.


You will participate in a project which aims to leverage the existing Trismegistos data and which will provide scholars, peers and publishers a unique interdisciplinary portal and digital tool which connects scholarly literature with sources from the ancient world. To do this, the project will combine current rule-based and probabilistic approaches with newly implemented Artificial Intelligence [AI] algorithms to distill references to the ancient sources (inscriptions, papyri, authors, ... ) from recent articles and books stored in digital formats like PDF or XML and link those references with entities in Trismegistos. The interdisciplinary project is positioned at the crossroads between several domains including information science, computer science, artificial intelligence, history and digital humanities.

You will contribute to the AI-pipeline for Information Extraction in work packages related to Named Entity Recognition and Entity Resolution. You are expected to collaborate with history scholars and IT specialists in this project and develop, design and train new neural network models for graph embeddings. Based on the results and models from this first phase, you’ll be encouraged to apply for funding to obtain a PhD-degree in Business Economics at the KU Leuven. 

You will also have the chance to present your work regularly at international workshops and conferences, to publish research results in indexed journals and to attend summer schools and similar events.


Although not restricted to these, you preferably have a background in Information Science, Computer Science, Artificial Intelligence, Mathematics, Business Economics or Business Engineering.

You show particular interest in science-technology-relations and you have affinity with quantitative approaches towards science and technology studies, including relevant developments in the field of big data/machine learning.

You are attracted by the prospect of collaborating with experts of the ancient world to overcome difficulties in accessing sources caused by varying disciplinary conventions.

You should be able to show excellent (‘honors’-level) results in prior studies and be fluent in both spoken and written English.

Knowledge of Dutch would be an advantage. Most importantly, you should share our unbridled enthusiasm for scientific research and have affinity with policy implications.


A full-time position at KU Leuven for a fixed term of 18 months with flexible starting date.

An internationally oriented research environment.

The salary will be determined in accordance with the legal salary grade systems existing at KU Leuven.


For more information please contact Prof. dr. Mark Depauw, tel.: +32 16 32 49 27, mail: or Prof. dr. Bart Thijs, tel.: +32 16 32 57 26, mail:

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

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