Oferta de treball: Predoctoral Researchers in Climate Predictability and Health Early Warning Systems [ERC PoC HHS-EWS + Horizon Europe CATALYSE]

Descripció

The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education. ISGlobal has a broad 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. Research is organized in three main areas, Malaria and other Infectious Diseases, Maternal, Child and Reproductive Health, and Urban Health, Climate & Non-Communicable Diseases. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

 

 

 

 

Lloc

Barcelona

What We are Looking for

We are seeking talented and highly motivated predoctoral researchers in the areas of climate predictability and health early warning systems. The successful candidates will join the research team of Dr. Joan Ballester at ISGlobal within the framework of various research projects, mainly the ERC Proof-of-Concept project HHS-EWS and the Horizon Europe Research and Innovation Action CATALYSE (see “Project information” below). The chosen candidates will be at the forefront of environmental research by analysing a novel database of human health in Europe, which incorporates a range of environmental, socioeconomic and demographic variables and novel digital data streams at different spatiotemporal scales. More specifically, the fellows will:
 
(i) use epidemiological models to transform operational weather forecasts into health predictions;
(ii)analyse and compare the spatiotemporal scales of predictability of weather forecasts and health predictions; and
(iii)use this comparative predictability analysis to develop an operational, fit-for-purpose, early warning system representing the health impacts of environmental temperatures.
 
The final aim of the work is to better inform potential end-users such as public health agencies to activate emergency plans directly targeting vulnerable groups.

Competences and Duties

Candidates are expected to meet as many of the following criteria as possible:

  • have a completed MSc with expertise in environmental epidemiology, climate, atmospheric sciences, mathematics, biostatistics, big data analysis or related areas;
  • have experience in the modelling of the environmental, socioeconomic and/or demographic drivers of human health;
  • have experience in common programming languages, with particular focus on NetCDF, R, Python and/or GIS tools;
  • have experience with the management and analysis of large datasets, and particularly, climate and health data;
  • be fluent in spoken and written English;
  • be willing to work in an inter-disciplinary team within a highly collaborative research institute.

Conditions

  • Dedication: Full time.
  • Starting date: As soon as possible.
  • Duration of the project: 3 years.

During the crisis caused by COVID19, standard working conditions will be adapted to sanitary requirements. 

How to Apply

Applicants must fill in the request form including the following reference: Predoc_Climate_Feb22

Applications should include:

  • the Curriculum Vitae;
  • a supporting statement briefly describing your qualifications and experience with regard to the competences and duties here described (250 words maximum);
  • contact details of two references, including email and phone number;
  • copy of the highest diploma;
  • copy of your Master project or thesis.

Only shortlisted candidates will be contacted.

Only the applications submitted through the request form will be considered.

Project Information

EARLY-ADAPT (“Signs of Early Adaptation to Climate Change”, 2021-2026) is a European Research Council Consolidator Grant (ERC-2019-CoG), whose overarching aim is to jointly analyse the multiple drivers of recent trends in human health. Its driving hypothesis is that societies are starting to adapt to climate change, but the effectiveness of early adaptation is heterogeneous in space and time. EARLY-ADAPT is creating a daily, continental-wide database with multiple health outcomes, climate variables, air pollutants, desert dust and winter infectious diseases. The database is being used to model the relation between health and the environment, quantify the modifying effect of the societal factors, and perform a predictability analysis to determine the most realistic adaptation scenarios for the projections of future health. The project will allow to detect, understand and quantify the inequalities in adaptation between countries, regions, cities and social groups. More information is available here.

HHS-EWS (“Operational Heat-Health-Social Early Warning System”, 2022-2024) is a European Research Council Proof-of-Concept Grant (ERC-2022-PoC), which aims to create a novel operational early warning system for environmental temperatures that incorporates the real risks to people's health, especially that of the most vulnerable populations. The system will transform the predictability of atmospheric variables into health predictions using epidemiological models specifically designed for the most vulnerable social groups. HHS-EWS is funded by the ERC Proof-of Concept scheme, which is intended to transform the theoretical research of the parent project into high-risk but potentially high-benefit innovations. In this case, the innovation aims to increase society's resilience to climate change, building on the theoretical research in epidemiology and social sciences being carried out in the context of EARLY-ADAPT. More information is available here.

CATALYSE (“Climate Action to Advance Healthy Societies in Europe”, 2022-2027) is a Horizon Europe Research and Innovation Action (HORIZON-HLTH-2021-ENVHLTH-02-03), whose overarching aim is to provide new knowledge, data, and tools on: i) the relationships between changes in environmental hazards caused by climate change, ecosystems, and human health; ii) the health co-benefits of climate action; iii) the role of health evidence in decision making; and iv) the societal implications of climate change for health systems. CATALYSE will develop innovative surveillance and forecasting tools that facilitate effective response to environmental health hazards, including a heat-health early warning system that incorporates weather forecasting, health data and epidemiological modelling. The early warning system will focus on Catalonia, Spain, based on high-quality health data, high-resolution weather forecasts from the Catalan Meteorological Agency, and established links with local public health stakeholders.

Project Acknowledgments

We gratefully acknowledge funding from the European Union’s Horizon 2020 and Horizon Europe research and innovation programmes under grant agreements No 865564 (European Research Council Consolidator Grant EARLY-ADAPT), 101069213 (European Research Council Proof-of-Concept Grant HHS-EWS), 956396 (Marie Sklodowska-Curie Innovative Training Network EDIPI) and 101057131 (Research and Innovation Action CATALYSE), and from the Ministry of Science, Innovation and Universities (MCIU) under grant agreement No RYC2018-025446-I (Programme Ramón y Cajal).

In ISGlobal we are committed to maintaining and developing a work environment in which the values and principles of our organization are respected and equal opportunities between women and men be promoted in each of the areas in which we operate, not tolerating discrimination based on criteria such as age, gender, marital status, race, ethnicity, functional diversity, political leanings, religion, sexual orientation, gender identity or gender expression.