We are looking for postdocs to work with us on INDOMITA!
Online hate speech has resulted in actual hate crimes. INDOMITA offers automated assistance to combat online hate speech. However, hatred is complex. The offensiveness of a phrase is determined by social customs and user demographics: “Yo, a**hole!” is acceptable among friends but not strangers. Our user-centric approach takes into account social customs and user demographics to enhance detection of nuanced forms of hate speech. We will use three strategies: – modeling a complex problem with socio-demographic context, – automating counter-argument and responding to aggressive users, and – creating evaluation methods to analyze fairness, performance, and subjectivity. Our research will bridge language gaps and shed light on the relationships between online actors and online hatred. We are seeking candidates to work on NLP, machine learning, and neural networks for representation learning, natural language understanding, and hate speech detection in various languages and modalities.
Successful candidates will work closely with Prof. Dirk Hovy, Prof. Debora Nozza, and the MilaNLP lab.


Your profile:
• a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields.
• Excellent programming skills in Python. Additional languages (C++, R, etc) a plus.
• Knowledge of current neural network models and implementation tools for neural networks (e.g. PyTorch, Tensorflow, Keras, etc.).
• Proven track record with publications in top-tier venues in the field of NLP/Computational Linguistics/ML.

Language requirements:

• Fluency in spoken and written English. Knowledge of Italian is NOT a requirement.

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying

Go to the https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/SitoPubblico_IT/Albero+di+navigazione/Home/docenti+e+ricerca/docenti/Reclutamento+docenti/Concorsi/Assegni+di+Ricerca/ and search for “INDOMITA”, you will then have to click on “Apply online” for proceeding with the application.
Candidates should attach publications and a cover letter to their application. Online interviews will take place during February 2023.

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