Two researchers in Computer Sciences and NLP (deadline: 27/5/2021)

Porto, Portugal

Two researchers in Computer Sciences and NLP (deadline: 27/5/2021)

HATE COVID-19.PT, Detecting Overt and Covert Hate Speech in Social Media

Role overview

Job Description

INESC ID is looking for two researchers to engage under the scope of project HATE COVID-19.PT, Detecting Overt and Covert Hate Speech in Social Media – Project number 759274510, funded by FUNDAÇÃO PARA A CIÊNCIA E A TECNOLOGIA. The duration of the two research fellowships is 6 months.

The researchers will be member of the research project HATE COVID-19.PT, Detecting Overt and Covert Hate Speech in Social Media, which seeks to contribute to the analysis and automatic detection of online hate speech in Portuguese, investigating the linguistic and rhetorical strategies underlying both overt and covert hatred content. Specifically, this project involves the creation of a large annotated corpus from social media, covering the Covid-19 pandemic, which will support the development of a machine learning prototype to detect hate speech, and assess its explicitness and intensity, considering the time period and geolocation data.

The selected candidates will:

 1) work on the development of semiautomatic strategies for data collection and annotation, and on the creation of a prototype that demonstrates how the information in the annotated corpus can support hate speech detection

OR

 2) work on the development of a prototype that demonstrates how the information in the annotated corpus can support hate speech detection.

The candidates should have a Bachelor Degree in Computer Science or related areas.

By the grant start date, the candidate must be enrolled in a MSc programme or in a non-degree programme.

Preference will be given to candidates who satisfy one or more of the following criteria.

For position 1:

  • an interest in research, particularly in the field of Natural Language Processing (NLP) and/or Machine Learning (ML)

  • proficiency in programming languages, particularly in  Python

  • language skills corresponding to high proficiency in Portuguese and in English.

For position 2:

  •  Interest and knowledge in Natural Language Processing (NLP) and/or Machine Learning (ML)

  • Previous contact with NLP methods and ML algorithms (e.g., deep learning)

  • Proficiency in programming, particularly in  Python

  • language skills corresponding to high proficiency in Portuguese and in English.

The activity will be supervised by:

1) Fernando Manuel Marques Batista, researcher at INESC-ID and Associate Professor at ISCTE,

2) Ricardo Daniel Santos Faro Marques Ribeiro, Researcher at INESC-ID and Associate Professor at ISCTE.

INESC ID will integrate the grantees in the research team of their scientific advisor.

The fellowship is renewable, if the candidate is enrolled in a MSc program or a non-degree program.

Application period: 14 May 2021 – 27 May 2021.

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