****Post-doc in NLP for racial stereotypes detection in social media
    at Toulouse University (France)****

The Institut de Recherche en informatique de Toulouse (IRIT-Toulouse
University) has a 12 months position offer within the STERHEOTYPES
project (https://www.irit.fr/sterheotypes/), a three years (2021-2024)
funded project under the "Challenge for Europe", on using NLP for the
detection of racial stereotypes in social media content. The project
focuses on `racial hoaxes', communicative acts created to circulate
information that are an allegation of a threat posed against someone's
health or safety associated to individual or a group because of race,
ethnicity or religion. Aiming at understanding the social and
psychological processes emerging from racial hoaxes in digital
generations across three border Mediterranean European countries
(Italy, Spain and France), the project integrates different
methodological approaches coming from psychology and computational
linguistics.

The candidate will investigate racial stereotype detection in tweets
and will focus in particular on: (1) Developing deep learning models
for an accurate identification of stereotypes and their
characterization, (2) Exploring multilingual detection in
collaboration with other partners from Italy (Univ. Torino,
Univ. Bari) and Spain (Univ. Barcelona).

**Additional information**

--> Duration of the position: 12 months

--> Salary : between 2400 euros and 2700 euros (after taxes) depending
    on experience.

--> Starting date: January or February 2022

--> Location : IRIT, Université Paul Sabatier, Toulouse.

**Ideal Candidate**

-->PhD in Computational Linguistics 

--> A very good experience in deep learning approaches for NLP

--> Good programming skills in Python

--> Good experience in hate speech detection.

 **Application**

Send your CV together with a list of publications and a statement of
research interests to Farah Benamara (farah.benamara@irit.fr) and
Véronique Moriceau (veronique.moriceau@irit.fr) before ***31th of
October 2021***