Postdoctoral Researcher

**Job Reference**:

- 70_25_ES_GHR_R2

**Position**:

- Postdoctoral Researcher - Climate Change & Epidemiological Modelling (R2)

**Closing Date**:

- Wednesday, 29 January, 2025

**Reference**: 70_25_ES_GHR_R2

**Job title**: Postdoctoral Researcher - Climate Change & Epidemiological Modelling (R2)

**About BSC**
- The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

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**Context And Mission**
- The Global Health Resilience (GHR) group led by ICREA Research Professor Rachel Lowe at the BSC-CNS is seeking a highly motivated postdoctoral researcher to conduct cutting-edge methodological research on tracking past, present and future health risks posed by climate change and co-create innovate modelling tools for early warning systems and impact attribution of climate-related health risks.

**Key Duties**
- Co-design innovative methodologies for impact attribution of climate-related health risks
- Harmonise multi-source, multi-scale climate, land-type, demographic, socio-economic, human movement and health datasets
- Formulate statistical, machine learning and mathematical models to understand the impact of environmental change and socio-economic factors on infectious disease risk and health outcomes
- Develop indicators to track the impact of climate change on multiple health outcomes
- Contribute to the development of open-source modelling tools, e.g. R packages
- Incorporate aspects of inequalities, inequities and injustices in quantitative research
- Contribute to health impact stories and communication materials to disseminate research to a broad audience
- Disseminate research outputs in peer-reviewed scientific papers and international conferences
- Interact with scientists in the group, department, center and other institutions in Barcelona to enhance synergies
- Engage with local communities, stakeholders and policy makers
- Develop training materials and deliver training workshops to researchers, data managers and stakeholders
- Support administrative duties of the group, including arranging meetings, taking minutes, writing deliverable and mission reports, maintaining Wiki/webpages, etc.
- Contribute to proposals for competitive funding

**Requirements**:

- Education
- BSc and MSc in Epidemiology, Biology, Ecology, Meteorology, Environmental Sciences, Geography, Physics, Mathematics, Statistics (or equivalent)
- PhD in infectious disease epidemiology, environmental epidemiology, statistical, ecological or environmental modelling or related field
- Essential Knowledge and Professional Experience
- Experience in data management and statistical analyses
- Strong programming skills in a suitable language (e.g., R, Python)
- Experience with version control systems (e.g., git)
- Excellent written and verbal communication skills in English, demonstrated in scientific publications and well documented repositories
- Ability to work in a collaborative professional environment within a transdisciplinary and international team
- Additional Knowledge and Professional Experience
- Fluency in English is essential. Proficiency in Spanish and other languages would be advantageous
- Experience with processing data from the field of climate and environmental sciences
- Experience with Bayesian modelling and spatial epidemiology
- Experience with machine learning methods and AI
- Experience with statistical downscaling and bias adjustments techniques
- Experience working with climate projections
- Experience harmonising various types of data (e.g., epidemiological, meteorological, environmental, mobility, hydrological)
- Experience with Linux environments and scripting languages (e.g., bash)
- Experience working with public health stakeholders and international agencies
- Knowledge of some of the following topics: infectious disease transmission modelling, human movement modelling, multi-model intercomparison experiments
- Competences
- Ability to work in a team and in a multi-cultural environment
- Problem-solving, proactive, result-oriented work attitude