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Portal > Offres > Offre UMR5505-CHLBOU-024 - Chercheur H/F en fouille de données textuelles, extraction d'information et apprentissage automatique

Researcher in text mining, information extraction and machine learning

This offer is available in the following languages:
Français - Anglais

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General information

Reference : UMR5505-CHLBOU-024
Workplace : TOULOUSE
Date of publication : Monday, September 09, 2019
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 January 2020
Proportion of work : Full time
Remuneration : 2 617 euros gross monthly
Desired level of education : 5-year university degree
Experience required : 1 to 4 years


The mission of PREVISION is to empower the analysts and investigators of LEAs with tools and solutions not commercially available today, to handle and capitalize on the massive heterogeneous data streams that must be processed during complex crime investigations and threat risk assessments. With criminals being ever more determined to use new and advanced technology for their cause, the aim is to establish PREVISION as an open and future-proof platform for providing cutting-edge practical support to LEAs in their fight against terrorism, organised crime and cybercrime, which represent three major cross-border security challenges that are often interlinked. PREVISION provides advanced near-real-time analytical support for multiple big data streams (coming from online social networks, the open web, the Darknet, CCTV and video surveillance systems, traffic and financial data sources, and many more), subsequently allowing their semantic integration into dynamic and self-learning knowledge graphs that capture the structure, interrelations and trends of terrorist groups and individuals, cybercriminal organisations and organised crime groups, giving rise to enhanced situational awareness in these fields.
PREVISION has a pan-European engagement and support agenda for LEAs: ten (10) different LEAs and practitioners take part in its consortium, while additional ones (including Europol) have joined its external advisory board. A strong inter-disciplinary dimension, combining technological expertise with sociological, psychological, linguistic and data science models, will lead to a common strategic approach for predicting abnormal and deviant behaviour, radicalisation potential, threat risks for soft targets, and cybercrime trends at different timescales. PREVISION will conduct demonstrations on five representative and complementary use cases, under real-life operational conditions, in full compliance with fundamental rights and applicable legislation.


Within this project, the PostDoc will have to design models in order to identify jargon used by some communities in social media as well as the way propaganda is spread through social media in link with the objectives of the project and considering the project use cases. S/he will have in charge the development of the associated tools as well as their evaluation.


The candidate should hold a PhD in computer science in the domains of Information Retrieval, Social media analysis, text mining, Information diffusion or related topics. S/he should have a good level in English (French not mandatory although i twill be a plus) and have a solid and proven knowledge in machine learning and associated tools as well as linguistic tools specifically for feature extraction and information extraction. A first experience in Postdoctoral position is a plus.

Work Context

The recruited person will integrate the SIG team, in the IRIT-UPS building (Paul Sabatier, Rangueil

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