Overview

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, starting as soon as July 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 have spent less than 12 months in Belgium over the last 36 months (on a professional basis).

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 :

[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.
[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.

Company:

Uclouvain

Qualifications:

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.

Specific requirements:

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).

Educational level:

Ph. D.

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