PhD position: Hate speech detection at CNRS@CREATE Singapore

30/05/2022 – 31/05/2022 all-day

Offre en lien avec l’Action/le Réseau : – — –/Doctorants

Laboratoire/Entreprise : CNRS@CREATE Singapore
Durée : 48 mois
Contact :
Date limite de publication : 2022-05-30

Contexte :
Program DesCartes is a large French-Singapore program led by CNRS@CREATE, the first international subsidiary of CNRS.

We are recruiting 14 students (having a Bachelor/Master or currently in M1 or M2) to pursue a PhD, mostly in Singapore in top 15 university worldwide and some in France, all co-advised by French and Singaporean researchers, particularly around the fields of IA.

A (non-exhaustive) list of PhD topics can be found at:


We have schemes for very competitive salaries for PhDs in Singapore (~3.000 euros/month ++)

Students interested need to contact ASAP:

More information can be found at

Sujet :
Hate Speech (HS) and harassment are particularly widespread in online communication, especially due to users’ freedom and anonymity and the lack of regulation provided by social media platforms. This phenomenon has determined a growing interest in using artificial intelligence and Natural Language Processing techniques to address social and ethical issues. An extensive body of work has been proposed to automatically detect HS relying on a variety of deep learning methods (Founta and Nunes, 2018; Schmidt and Wiegand, 2017). Most research focus on HS as expressed in texts without taking into account the contexts in which they have been uttered. This PhD aims to bridge the gap by investigating for the first time how HS are expressed and detected in multi-party dialogues. We will propose new context-based deep learning methods that leverage the conversation thread to account for hateful contents and how they evolve as the dialogue proceeds.

This project is part of the DesCartes program,, that aims to develop disruptive hybrid AI to serve the smart city and to enable optimized decision-making in complex situations, encountered for critical urban systems.


Paula Fortuna, Sérgio Nunes:A Survey on Automatic Detection of Hate Speech in Text. ACM Comput. Surv. 51(4): 85:1-85:30 (2018)

Anna Schmidt, Michael Wiegand: A Survey on Hate Speech Detection using Natural Language Processing. SocialNLP@EACL 2017: 1-10


Jian Su (Institute for Infocomm Research (A*STAR, )), Shafiq Joty (Nanyang Technological University (NTU), ) and Farah Benamara (Toulouse University, )


4 years


CNRS@CREATE Singapore (

Profil du candidat :
–>Master degree in Computer science with solid background in NLP and/or machine learning

Formation et compétences requises :
–> A good experience in deep learning approaches for NLP

–> Good programming skills in Python

Adresse d’emploi :
**How to apply**

Send your CV together with a list of publications to Jian Su (, Shafiq Joty ( and Farah Benamara ( before May 27th 2022