We regularly publish job offers for research assistants or postdocs on this page.

We also welcome applications for various grants (FNRS, FSR Move In, MSCA, etc.) as doctoral or post-doctoral fellows. If you are interested in joining ORM to develop your projects, do not hesitate to contact one of the academic member of the centre.

Open position at ORM

50% position Teaching and Research Assistant (PhD student) at ORM and UCLouvain School of journalism and communication
Apply by May 23

The UCLouvain School of communication opens a position of Research and Teaching Assistant in the field of communication. This position entails the realisation of a phd that will be hosted by the ORM.

Interested candidates are welcome to make contact with ORM academic staff members for more information.

Job description and link to apply:’assistant%C2%B7e-%2850%29-domaine-Information-et-communication-%28n%C2%B01986%29/801968801/

3-year full time Post-doc position for a Ukrainian researcher
Area: machine learning and data visualization in the news media industry

Apply by May 15th

The MiiL (Media Innovation and Intelligibility Lab), the ORM (Research Observatory on Media and Journalism) and the Social Media Lab at UCLouvain (Belgium) are looking for a post-doc researcher for a 3-year project named ODALON (Open DAta for LOcal News), starting as soon as September 2022. The project is dedicated to leveraging the potential of open data in the context of local news production, with machine learning and data visualization tools. It is funded by the Walloon Region and the Rossel Group, the biggest media group in the french-speaking Belgian community. It is an applied research project: the hired researcher will evenly split the work time between UCLouvain offices and Rossel headquarters.

Strict condition required by the funding program: the candidate shall have the Ukrainian nationality and shall have spent less than 12 months in Belgium over the last 36 months (on a professional basis).

Job description

In the context of the ODALON project, the researcher will develop a prototype for a complete workflow of semi-automated local information production based on open data available in Belgium. The project will focus on increasing efficiency of the “enrichment” and “deployment” phases of a usual information production workflow based on open data, and on integrating these phases in a unified software workflow :

  1. [enrichment phase] Create high-quality local information content by the semi-automatic detection of relevant correlations within large datasets
    • Pattern detection on a sample of data and automated search for these patterns within larger amounts of data, based on machine learning techniques
    • Co-construction of an expertise in data-journalism applied to open data, by involving both technical and journalistic profiles
    • Assessment of the level of technical and journalistic expertise required at each step, as well as the potential for automation.
    • Creation of standard information processing models (scenarios) based on a series of local information topics identified with local journalists.
  2. [deployment phase] Increase readership engagement and data intelligibility for local news production
    • Semi-automated generation of data visualizations
    • Automated recommendation of visualization (e.g., format, interactivity level,available settings), based on topics, audiences, and personal user profile.

Practically, the project will focus on open data available for the city of Namur, renowned for its high expertise developed in open data and the quality of their datasets.


  • Professional and research background: PhD (or equivalent research experience) in computer science, machine learning, data analysis, data visualization or human-computer interaction. A recommendation from a previous supervisor will be an asset.
  • Computing skills: Python and/or Javascript, or a similar programming language. Experience with TensorFlow is a plus.
  • Communication skills: excellent level in French (as most datasets and news production will be in French). Minimum B2 level in active English.
  • Ability to work both independently and in a team.


  • Full-time post-doc position for 3 years.
  • Remuneration based on the FNRS post-doctoral researcher scale, complemented by a 3k€/year “mobility allocation”.
  • Work environment: the work will be performed both within the MiiL and at Rossel. The MiiL is the UCLouvain medialab: it brings together information and communication experts, linguists and computer engineers, in order to address the various challenges of digital technologies in the media field. It also benefits from the AI expertise of the TRAIL Institute. Rossel is the biggest news media group in French-speaking Belgium.
  • Career perspectives in both academic and professional media fields.
  • Work can start as soon as September 2022.

For more information, please contact Antonin Descampe ( Apply as soon as possible and no later than May 15th, by sending:

  • a detailed CV (with publications);
  • a copy of the PhD diploma;
  • a cover letter, describing, at least, your motivation and how your profile responds to the offer.

The candidate will have to be formally approved by the Walloon Region (final decision made in August 2022).

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