Doctoral Candidate Researcher

The Barcelona Supercomputing Center is seeking a Postdoctoral Researcher in Global High-Resolution Mineral Dust Modeling. The role involves improving dust emission simulations, collaborating on climate research, and utilizing advanced computing resources. Candidates should have a PhD in a relevant field and proficiency in FORTRAN. The position is based in Bilbao, Spain, offering a full-time contract with a supportive work environment and flexible hours.
Job Title: Postdoctoral Researcher in Global High-Resolution Mineral Dust Modeling (R2)

About BSC

The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is a leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, and hosts the 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 to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science under one roof.

We promote Equity, Diversity, and Inclusion, fostering an environment where each person is appreciated for who they are, regardless of differences.

Context and Mission

The climate effect of dust produced by wind erosion of arid and semi-arid surfaces introduces uncertainties that impede accurate projections of future climate change.
• Improving dust emission and transport simulations in climate models.
• Collaborating on high-impact research initiatives.
• Engaging with leading dust and climate research institutions to drive scientific advancements.

This position offers access to state-of-the-art computing resources and a collaborative environment.

About the Center and the Research Group

The Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS) is Spain's leading supercomputing facility, dedicated to advancing information technologies for scientific progress.

Key Duties
• Model Development: Integrate and improve advanced dust emission schemes into a high-resolution climate model.
• Scientific Research: Investigate dust emissions, transport, and their climatic impacts.
• Data Analysis: Utilize observational datasets for model evaluation and validation.
• Collaboration: Work with an interdisciplinary team of scientists, modelers, and computational researchers.
• Publication & Dissemination: Publish findings in high-impact journals and present at international conferences.

Requirements

Education: PhD in Atmospheric Sciences, Environmental Engineering, Physics, or a related field.

Essential Knowledge and Professional Experience:
• Proficiency in FORTRAN and experience working with supercomputing platforms.
• Familiarity with atmospheric data formats (e.g., NetCDF) and scientific tools.

Additional Knowledge and Professional Experience:
• Experience in dust emission, boundary layer / turbulence or land / atmosphere interaction modeling.
• Knowledge of IFS or EC-Earth models.
• Familiarity with Digital Twin technologies in atmospheric sciences.

Competences:
• Strong analytical and problem-solving skills.
• Attention to detail, particularly in scientific coding and model development.
• Good communication skills.
• Ability to work both independently and within a collaborative research environment.

Conditions

The position will be located at BSC within the Earth Sciences Department. We offer a full-time contract, a good working environment, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to relocation procedures.

Duties include improving dust emission and transport simulations in climate models, collaborating on high-impact research initiatives, engaging with leading dust and climate research institutions, integrating and improving advanced dust emission schemes into a high-resolution climate model, investigating dust emissions, transport, and their climatic impacts, utilizing observational datasets for model evaluation and validation, working with an interdisciplinary team of scientists, modelers, and computational researchers, publishing findings in high-impact journals, and presenting at international conferences.

Applicants must have a PhD in Atmospheric Sciences, Environmental Engineering, Physics, or a related field, proficiency in FORTRAN, experience working with supercomputing platforms, familiarity with atmospheric data formats, and strong analytical and problem-solving skills.