1 Research Collaborator Position In "Tools And Techniques For Fakes Detection"

Universities and Institutes of Italy

Italy

October 20, 2022

Description

  • Organisation/Company: IMT School for Advanced Studies Lucca
  • Research Field: Computer science › Informatics Computer science › Other Engineering › Computer engineering Mathematics › Other Mathematics › Statistics Physics › Applied physics Physics › Other
  • Researcher Profile: First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3)
  • Application Deadline: 20/10/2022 13:00 - Europe/Brussels
  • Location: Italy › Lucca
  • Type Of Contract: Temporary
  • Fields

    Fake news, fake accounts, social media analysis, data mining, machine learning, NLP, feature engineering

    Profile

    The research collaborator will work on the definition and development of software prototypes for ranking the content produced and diffused over the Internet and social networks, as well as their producers and spreaders. Final aim is assessing credibility of such content, and trustworthiness of the creators and spreaders. The software solutions will process web data and data from social media, primarily by means of machine learning techniques. The position is framed into the IMT Lucca-funded PAI project TOFFEe "Tools for fighting fakes".

    Activity

    The planned research activities are as follows:

    - to continue the studies already started within the Toffee project on the detection of bots and disinformation on Twitter, primarily using machine learning techniques;

    - study how to extend these studies to other social platforms (e.g. Instagram);

    - collect new datasets from social media related to relevant events, both Italian and foreign;

    - contribute to the drafting of scientific articles for the dissemination of the results obtained.

    The activities will be carried out working together with the participants of the Toffee project.

    Web site for additional job details

    https: // www. imtlucca.it/it/jobopportunity/tools-and-techniques-for-fakes- dete...

    Offer Requirements
  • REQUIRED LANGUAGES
  • ENGLISH: Good

    Skills/Qualifications
  • Master's degree (preferential: Computer Science, Computer Engineering, Physics, Mathematics, Statistics)
  • Good knowledge of written and spoken English.
  • Specific Requirements

    Knowledge of:

    - web programming languages;

    - machine learning algorithms and related libraries - web crawling/scraping;

    Familiarity with:

    - statistics techniques and related libraries - NLP and related libraries;

    - Applications: Web and Social Media analysis.

    Contact Information
  • Organisation/Company: IMT School for Advanced Studies Lucca
  • Organisation Type: Higher Education Institute
  • Website: https:// www. imtlucca.it/
  • E-Mail: researchers.opening@imtlucca.it
  • Country: Italy
  • City: Lucca
  • Street: Piazza S. Ponziano, 6 55100
  • Similar Jobs

    Add to favorites Read more...

    Msc Student (# Of Pos: 2)

    PhD position in Heraklion, Crete Institute of Computer Science (ICS) Foundation for Research and Technology-Hellas (FORTH) A PhD position is available at the Institute of Computer Science (ICS), Foundation for Research and Technology-Hellas (FORTH), Heraklion,...

    Add to favorites Read more...

    Human Machine Interface Developer

    Researcher Profile: First Stage Researcher (R1) irit.fr/ELIPSE/site/) at the Toulouse Research Institute for Computer Science (IRIT, https: // irit.fr) focuses on ELIPSE is interested in the development of solutions that allow the use of devices,...

    Add to favorites Read more...

    Phd Student Engage 02

    Research Field: Chemistry Engineering Physics The European Synchrotron, the ESRF, is an international research centre based X-ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology,...

    Chalmers University of Technology

    Sweden Sep 20, 2022

    Add to favorites Read more...

    Postdoc in Neuro-Symbolic Reasoning and Reinforcement Learning

    communication schemes in multi-agent systems, trained via reinforcement We combine symbolic methods with machine learning, in what is referred to as a neuro-symbolic system, where a neural network learns to This is a collaborative project...