DescripciónThe 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, Child and Maternal 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.
What We Are Looking for
We are seeking between 5 and 7 talented and highly motivated researchers in the areas of climate, air pollution, environmental epidemiology, economy and social sciences. The successful candidates will join the research team of Dr. Joan Ballester at ISGlobal within the framework of various research projects (see “Project information” below), mainly the recently awarded ERC project EARLY-ADAPT (find details in the next paragraph). The team will be at the forefront of environmental research by creating and 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. Interest is additionally expressed for candidates specialized in big data, infectious diseases and COVID-19 (see “Competences and duties” below).
EARLY-ADAPT (“Signs of Early Adaptation to Climate Change”) is a 5-year 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 will create a daily, continental-wide database with multiple health outcomes, climate variables, seven air pollutants, desert dust and influenza. The database will be 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.
- Climate and environmental sciences: to analyse and interpret the outcome of climate and air pollution models, and to perform predictability analyses to explore the skill of health forecasts at daily, seasonal and climate change timescales (e.g. see an example here ).
- Epidemiological modelling: to design and implement different techniques to model the relationship between the daily health outcomes and the daily environmental variables at different scales, including analyses at the continental, national, regional and city levels.
- Economy and social sciences: to describe the relationship between macroeconomic cycles and early adaptation to climate change, and to analyse the socioeconomic and demographic drivers of adaptation inequalities between countries, regions, cities and social groups.
- Software engineering: details of this position are separately provided here.
Competences and duties
- have a completed, or close to completion, PhD (for postdoctoral candidates) or MSc (for predoctoral candidates) with expertise in environmental epidemiology, biostatistics, mathematics, big data analysis, climate, air pollution, infectious diseases, economy, social sciences or related areas;
- have experience (for postdoctoral candidates) or interest (for predoctoral candidates) for the modelling of the environmental, socioeconomic and/or demographic drivers of human health, including non-transmissible and/or infectious diseases;
- have experience in common programming languages, with particular focus on R, Stata, Python, NetCDF, HDF5 and/or GIS tools;
- have experience with the management and analysis of large datasets, and particularly, health, climate, air pollution and/or satellite data, as well as novel digital data streams;
- be fluent in spoken and written English, and be willing to apply to individual fellowships to become and independent researcher and define new own lines of research;
- be willing to work in an inter-disciplinary project team within a highly collaborative research institute.
- Dedication: Full time.
- Starting date: Any time since May 1st 2020.
- Duration: 1 year, renewable annually subject to performance.
We gratefully acknowledge funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No 865564 (European Research Council Consolidator Grant EARLY-ADAPT) and 727852 (project Blue-Action), and from the Ministry of Science and Innovation (MCIU) under grant agreements No RYC2018-025446-I (programme Ramón y Cajal) and EUR2019-103822 (project EURO-ADAPT).
How to apply
Applicants must fill in the requesed form including the following reference: [PREDOC_EARLY_ADAPT_Apr20] or [POSTDOC_EARLY_ADAPT_Apr20] depend on the position they are interested in. Applicants should attach the Curriculum Vitae and a supporting statement briefly describing their qualifications and experience with regard to the competences and duties of the offer.
Given the size and length of the project, the job offer will remain open in order to continuously attract highly talented scientists.
Only shortlisted candidates will be contacted.
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, sex, marital status, race, ethnicity, disabilities, political leanings, religion or sexual orientation.