Technical Researcher In Climate-And-Health (Re2/R2)

Barcelona Supercomputing Center; Madrid; Presencial; EUR 42.000 - 62.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Restaurant tickets

Private health insurance

Relocation support

Descripción de la vacante

Barcelona Supercomputing Center (BSC) is seeking a Technical researcher in Climate-and-Health to develop sub-seasonal, seasonal and decadal climate service products for health and to downscale climate information for regional health indicators. The CS Team collaborates across ES Department and GHR group on actionable climate information for societal sectors.

The successful candidate will post-process climate forecasts, contribute to software for forecast verification, and publish results while

Formación

• Experience handling, analysing and validating large climate model datasets.
• Experience in data management and climate statistical analyses.
• Experience in postprocessing sub-seasonal forecast data.
• Proficiency in R is required, and Python is valued.
• Experience with UNIX/LINUX environments.

Responsabilidades

• Post-process, analyse and tailor climate sub-seasonal and seasonal forecasts to inform epidemiological indicators.
• Contribute to the development of software packages for forecast verification designed for health end-users.
• Assess and communicate the quality of post-processed climate information.
• Apply statistical downscaling methods to obtain climate data at high spatial resolution for specific sites, selecting the adequate method depending on the spatiotemporal scale and orography of each site.
• Aggregate climate data to administrative units.
• Perform user-oriented research, understand user needs and facilitate technology transfer.
• Actively participate in EU projects (teleconferences, workshops, meetings, and writing deliverables).
• Disseminate research outputs in peer‑reviewed scientific papers and international conferences.
• Interact with CS and GHR teams, department, centre and other institutions to enhance synergies.
• Contribute to the development of training materials for users and decision-makers.

Conocimientos

R programming

Python

UNIX/Linux

Climate data handling

Statistical analyses

Educación

MSc in physical sciences, applied mathematics, environmental sciences or engineering, computer sciences, or related discipline

PhD useful but not required

Descripción del empleo

Job Reference 65_26_ES_ESS_RE2 Position Technical researcher in Climate-and-Health (RE2/R2) Closing Date Sunday, 20 September, **** Reference: 65_26_ES_ESS_RE2 Job title: Technical researcher in Climate-and-Health (RE2/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 **** staff from 60 countries.

Context And Mission The Climate Services (CS) Team within the Earth System Services (ESS) Group is seeking a climate scientist to work on the development of sub-seasonal, seasonal and decadal climate service products for health, with a focus on the statistical downscaling of climate information at sub-seasonal to seasonal timescales. The mission of the CS Team is to apply state-of-the‑art scientific climate knowledge for the co-development of actionable climate information and solutions relevant for key societal sectors (e.g. agriculture, renewable energy, health) in their adaptation to climate change.

The CS Team is part of the Earth System Services Group (ESS) within the Earth Sciences (ES) Department, whose mission is to research the impact of weather, atmospheric chemistry and climate upon socio-economic sectors, including renewable energy, agriculture, water management, forest fires, urban development and health and demonstrate the ongoing value of earth system services to society and the economy.

The selected candidate will be involved in different EU projects, national and international initiatives in collaboration with the ES Department's Global Health Resilience (GHR) group, led by ICREA Professor Rachel Lowe.

The mission of the GHR group is to apply a transdisciplinary approach to co-designing policy-relevant decision-support tools to enhance surveillance, preparedness, and response to global health challenges, with a focus on climate-sensitive infectious diseases.

Together, the CS Team and GHR group co-develop impact-based forecasting models at sub-seasonal to decadal timescales in collaboration with public health, disaster risk management, and humanitarian agencies.

The successful applicant will participate in different projects operating in Europe, Asia, and the Latin America & Caribbean region and work with state‑of‑the‑art climate predictions to obtain relevant climate indicators for health assessments at both global and local spatial scales.

The candidate will benefit from interdisciplinary training opportunities tailored to their experience and interests.

Their activity will be positioned within the context of WMO's Global Framework for Climate Services (GFCS), whose aim is to advance climate predictions to provide actionable sub-seasonal to decadal climate information to key sectors of society.

This position therefore presents the opportunity to work alongside a wide range of leading international climate scientists delivering cutting‑edge climate science and climate services across Europe.

The position holder will enjoy joining one of the leading and most dynamic European groups in the field of climate services.

Successful candidates will benefit from expert training and BSC-CNS staff benefits: international multidisciplinary scientific environment and advanced applied research training.

We encourage applications from highly motivated candidates with demonstrated experience in climate science and interest in applied research projects within the context of climate services.

Key Duties

• Post-process, analyse and tailor climate sub-seasonal and seasonal forecasts to inform epidemiological indicators
• Contribute to the development of software packages for forecast verification designed for health end-users
• Assess and communicate the quality of post-processed climate information
• Apply statistical downscaling methods to obtain climate data at high spatial resolution for specific sites, selecting the adequate method depending on the spatiotemporal scale and orography of each site
• Aggregate climate data to administrative units
• Perform user-oriented research, understand user needs and facilitate technology transfer
• Actively participate in EU projects (participate in teleconferences, workshops, meetings, and writing deliverables)
• Disseminate research outputs in peer‑reviewed scientific papers and international conferences
• Interact with scientists in the CS and GHR teams, department, centre and other institutions to enhance synergies
• Contribute to the development of training materials for users and decision-makers in handling, post processing, and analysing climate information

Requirements

Education

MSc in physical sciences, applied mathematics, environmental sciences or engineering, computer sciences, or a related discipline.

A PhD (or equivalent in terms of experience) is considered useful but it is not strictly required.

Essential Knowledge And Professional Experience

• Experience handling, analysing and validating large climate model datasets
• Experience in data management and climate statistical analyses
• Experience in postprocessing sub‑seasonal forecast data
• Proficiency in scientific programming in R is required, and experience with Python is valued
• Experience with UNIX/LINUX environments and scripting languages

Additional Knowledge And Professional Experience

• Experience in statistical downscaling techniques is highly desired
• Ability to work in a professional environment within a multidisciplinary and international team
• Written and verbal communication skills in English, especially for scientific publications

Competences

• Capacity to interact and build strong relations with climate, health, and computer scientists
• Problem‑solving, pro‑active, and result‑oriented work attitude
• Ability to take initiatives, prioritize tasks, and work under set deadlines

Conditions

• The position will be located at BSC within the Earth Sciences Department
• We offer a full‑time contract (35h/week), a good working environment, a highly stimulating environment with state‑of‑the‑art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
• Duration: Open‑ended contract due to technical and scientific activities linked to the project and budget duration
• Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: As soon as possible

BSC-CNS is an equal opportunity employer committed to diversity and inclusion.

We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.