Postdoctoral Researcher in Early Warning Systems for Infectious and Non-Communicable Diseases

hace 4 semanas


Barcelona, Barcelona, España Isglobal A tiempo completo

Postdoctoral Position: Early Warning Systems Of Infectious And Non-Communicable Diseases

The Barcelona Institute for Global Health (ISGlobal) is a leading research center addressing global public health challenges through innovative research, policy translation, and education. Our institute has a strong portfolio in communicable and non-communicable diseases, including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Our research is organized in the following main areas: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases; Maternal, Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

Job Context and Mission

In the framework of our Centre for Excellence Severo Ochoa Programme, we are seeking an enthusiastic and self-motivated postdoctoral epidemiologist with expertise in Data Science and Machine Learning to join our team. The selected candidate will play a pivotal role in extending the Forecaster-Dot-Health and Famba platforms to cover new health risks, geographic regions, and forecast durations. This postdoctoral role offers a unique opportunity to apply advanced data science techniques and epidemiological models to weather and climate data, impacting both infectious and chronic disease forecasting.

Key Responsibilities

  • Automate the acquisition and processing of weather and climate forecasts
  • Collaborate with scientific teams to leverage these data for health-related studies
  • Ensure that weather and climate forecasts are readily available and integrated into scientific studies across the institution

Working Environment

The postdoctoral researcher will work closely with Prof. Joan Ballester, Prof. Jose Muñoz, and Prof. Paula Petrone. This is a unique opportunity to contribute to cutting-edge research and collaborate with a multidisciplinary team of scientists.



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