Analysis of social media data to detect fakes and bots

1 Research Collaborator position
(Deadline July 15th, 2019 12:00 )
Fields

Data analytics, programming, data bases, reputation systems

Activity

Acquisition and analysis of data available on social media to study the behaviour of humans, social robots, their interactions, their connections and their role in broadcasting, advertisements and political propaganda. Construction of automatic tools to quantify the level of reliability of news spreading through social media or other platforms for sharing information or opinions. Fake news detection and study of the networks of humans, of bots and of humans and  bots.

Profile
IMT invites application for a Research Collaborator in "Analysis of social media data to detect fakes and bots".
Candidates must have a Master degree in Computer Science or Computer Engineering as well as working experience on programming with high level languages, datra bases management and data analytics.
 
Formal requirements
  • Master Degree in Computer Science or Computer Engineering or an equivalent degree
  • A suitable background for carrying out research activity
  • Excellent knowledge of English, both spoken and written
Project

“TOols for Fighting FakEs” (TOFFEe)

Duration

2 years

Gross amount

24.400€/year

Job Research Unit: 
SysMA
Job Contract Type: 
Assegno di ricerca

Application

Apply ONLINE only.

Guidelines for applying through the PICA platform (Italian | English).
Before filling in the application form, please read thoroughly the full call and collect all the files you may need:

Info

  • Personal info and contact info (compulsory);
  • University degree (compulsory);
  • PhD (compulsory only if stated in the full call).

Attachments

  • The scanned copy of a valid identity document (Passport or Identity Card - compulsory);
  • Your CV in English (compulsory).