Employment Type
Job Location
LIP - Laboratório de Instrumentação e Fí­sica Experimental de Partí­culas, Av. Gama Pinto, 2, 1649-003 Lisbon, Portugal
Remote work possible
Valid through
April 30, 2023

spac @ lip.pt

Position title
Postdoctoral Researcher (work contract)

The Social Physics and Complexity Lab, at the Laboratory of Instrumentation and Experimental Particle Physics (LIP), is recruiting a Postdoctoral Researcher (Junior Researcher) to perform research in the scientific subject of Computational Social Sciences, in the framework of the project “FARE, Fake News and Real People” (GA 853566), funded by the European Research Council (ERC).

The candidate will be hired under a non-fixed term work contract, with compensation adjusted to their previous experience.

The recruited candidate will integrate a multidisciplinary and diverse research team and a collegial and collaborative environment.


Recent events have raised serious concerns about the influence of the so-called fake news. The FARE project will enrich current efforts, which mostly confront fake news spreading from an applied perspective, by offering a theoretical framework that allows us to make testable predictions. FARE argues that sharing of fake news is a deviation from pure rationality and aims at understanding:

  • What are the role(s) that cognitive biases play in fake news susceptibility and spread?
  • What are the role(s) that network features play in fake news dynamics?
  • How do cognitive biases and network features interact to impact on fake news spread?
  • How can we tackle such questions in an ethical and society-focused manner?

The project will be developed in six main tasks:

  1. Fake news Extraction and Classification;
  2. Behavioural Framework and Cohort Creation;
  3. Social Networks Dataset Development and Analytics;
  4. Theoretical Framework Development and Testing;
  5. New Tools for the Ethical Handling of Big Data;
  6. Expert Panels and Results Dissemination.

This is an interdisciplinary project and the selected candidate will be participating in all tasks of this project (with a particular emphasis in Tasks 3 and 4), together with several members of the group, and is expected to be part of other research activities, such as journal club discussions and group meetings.

Education and Experience
The candidate should have a PhD degree in computer science, network science, informatics, mathematics, physics, or a related quantitative field, and should have experience with modelling and statistical analysis of large datasets. Expertise with computational analysis tools such as MATLAB, Mathematica or Python is required. Preference will be given to candidates that have previously worked on complex systems, complex networks, or social network analytics.

The candidate must be fluent in English and be able to use it in a professional setting.

Beginning of employment
01.06.2023 (predicted)

Applications should be sent as pdf files to the email address natalia @ lip.pt until April 23rd, 2023. Candidates should send the following documentation (in english):

  • Motivation letter
  • Detailed Curriculum Vitae
  • Certificate or diploma copy, including recognition of foreign diploma, if applicable
  • Contacts of 2 references who have supervised or worked directly with the candidate
  • Other documents the candidate considers relevant for their application
Additional information

Feel free to contact us for more information at spac @ lip.pt.

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