• design and implement harmonization protocols for a successful integration of data,
• write and run scripts to transform the data into a common data format, and
• interact with the scientists of the group to adapt the data to their scientific needs.

In addition, it is desired that the chosen candidate(s) meets as many of the following criteria as possible:

• have experience with Linux environment and scripting;
• have experience with Shiny, Python and/or NetCDF;
• have experience with Shapefiles and geospatial data;
• have experience with the management and analysis of climate and/or health data;
• have a good level of English;
• be willing to work in an inter-disciplinary project team within a highly collaborative research institute.

• Dedication: Full- or part-time.
• Starting date: As soon as possible.

• the Curriculum Vitae;
• copy of the highest diploma.

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 .

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) and 101057131 (Research and Innovation Action CATALYSE); from the Ministry of Science, Innovation and Universities (MCIU) under grant agreement No RYC2018-025446-I (Programme Ramón y Cajal); and from FORMAS, the Swedish Research Council for Sustainable Development (Cross-Cutting Climate Adaptation - Challenges and Measures Grant ADATES).