Project Officer - Scientific/Technical Support officer for Project IMPARA

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The objective of the exploratory research project IMPARA (IMpact assessment of PAndemics through big data analytics ReseArch) is to provide scientific evidence for the assessment of mitigation measures in case of a pandemic. The effectiveness of these measures as well as their collateral damage will be studied via multi-parametric models and machine learning techniques, applied to multi-source data.

The vacancy is within JRC's Directorate for Competences. The directorate operates Competence Centres to develop, provide and apply analytical tools, methods and integrated solutions to better support the Commission Services for the conception, implementation and evaluation of EU policies. The operational scientific research will take place in the unit Text and Data Mining, which aims to develop, provide access to, and apply text and (big) data mining, management and analysis.

The selected candidate will be in charge of carrying out all aspects of the IMPARA project, this includes:

  • Collecting, preparing and analysing structured and unstructured data from various sources, including mobility data, national public health authorities and other platforms that collect information relevant for the mitigation strategies, social media, and geo-spatial data;
  • Producing indicators for the effectiveness of mitigation measures based on the collected data in a multidisciplinary approach;
  • Studying and comparing different epidemiological models to simulate the evolution of an epidemic, e.g., agent-based, Susceptible-Infectious- Recovered (SIR), and multi-parametric models;
  • Applying machine learning (ML) techniques to assess the importance of the variables that impact the spread of the disease;
  • Including social media data to pick up early signals from sentiment analysis, e.g., to predict social behaviour that put mitigation measures such as social distancing at risk;
  • Applying data science technologies such as interactive dashboards based on Jupyter notebooks and containing text, graphics, formulas, as well as user interface components (like buttons, checkboxes, sliders), dynamic plots, and interactive maps;
  • Dissemination/publication of results.

Code for the post: 2020-IPR-A5-FGIV-015649 - ISPRA