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Investigador postgraduado con Máster

Universidad Politécnica de Madrid | Posted 14-10-2020

Madrid (Ingeniería)

Función: -Creation of a tool able to classify and identify fake news. -Creation of a fake news dataset. -Writing 2 scientific articles concerning the outcomes of the project

Empresa: Universidad Politécnica de Madrid Nº de Plazas: 1
Referencia: Proyecto CIVIC (Fundación BBVA) Publicada el 14/10/2020 Publicada hasta el 31/10/2020
Tipo de Contrato: Obra y servicio Dedicación: Jornada completa Remuneración Bruta (euros/año): 21000
Localidad: Madrid Provincia: Madrid Disponibilidad para viajar: Si
Fecha de Incorporación: 10/10/2020 Fecha de Finalización: 1 año
Nivel Académico
Titulación Académica
Ciencias de la Información (Titulación Universitaria)
Ingeniería Informática (Titulación Universitaria)
Áreas tecnológicas
D-02 Ciencias de la Comunicación
P-07 Informática
Idioma: Inglés Nivel Lectura: Alto Nivel Escrito: Alto Nivel Conversación: Alto
Idioma: Español Nivel Lectura: Alto Nivel Escrito: Alto Nivel Conversación: Alto
Conocimientos de Informática
Experiencia en lenguajes de programación como Python o R

Job summary

  • Staff Category: Postgraduate researcher

  • Type of Employment: Fixed-term

  • Working hours: Full-time (37.5 hours per week)

  • Duration of the employment: 1 year

  • Institution: Universidad Politécnica de Madrid

  • Department: Department of Computer Systems Engineering

  • Research Field: Data Journalism, Data Science, Machine Learning

  • City: Madrid (Spain)

  • Application deadline: October 31, 2020

  • Starting date: November 2020

  • Salary: 21.000 €

  • Funding: Fundación BBVA. Ayudas Fundación BBVA a equipos de investigación científica SARS-CoV-2 y COVID-19

Job description

We are hiring a postgraduate researcher focused on Data Journalism to work for at least one year in the research project “CIVIC: Intelligent characterisation of the veracity of the information related to COVID-19”, funded by the Spanish Fundación BBVA. The candidate will mainly focus on research tasks.

The main objectives of this project are:

  • To collect disinformation data in social media (news, tweets,...).

  • To develop natural language models that help to understand the nature behind disinformation.

  • To assist in the verification and labelling of fake news or misleading information

  • To train and test machine/deep learning models to predict the veracity of information in advance.

  • To develop a prototype to assist social media users to verify information.

The successful applicant will work in a multi-disciplinary team of computer scientists in Madrid, and their partners in the CIVIC project. This is a grant of Fundación BBVA (https://www.fbbva.es/noticias/la-fundacion-bbva-impulsa-20-proyectos-de-investigacion-sobre-covid-19-en-biomedicina-big-data-e-inteligencia-artificial-ecologia-y-veterinaria-economia-y-ciencias-sociales-y-humanidades/) coordinated by Universidad Politécnica de Madrid, involving different partners from European countries. The ultimate goal of this project is to address the growing need for solutions to face fake news dissemination, giving useful tools to the population and, specially to social media users, to verify information veracity.

For more information about the project contact us via e-mail: alejandro.martin@upm.es


All qualified candidates irrespective of gender or nationality are welcome to apply as long as they meet the following conditions:

  • A Bachelor's degree in Journalism, Computer Science or related

  • A Master’s Degree in Data Journalism, Machine Learning, Computational Intelligence and/or Data Science

  • Strong programming skills, in languages such as Python or R

  • Good command of English and Spanish languages are required. It is essential that the researcher is able to produce reports or results/deliver presentations in English and Spanish.

Research experience in any of the topics related to the project is desirable. We are looking for a talented and highly motivated candidate, confident with enthusiasm for the project. He/she should have an independent and well-structured working style, but has to be able to work in teams as well.