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Paid Internship
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11Open Positions

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Research Engineer/Researcher Climate Services Team (RE2/R2)

Barcelona Supercomputing Center
Found 4 weeks ago
Location
Barcelona, Spain
Duration (Months)
12 Months
Time
Full-time
Work Mode
Not disclosed
Salary
competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • climate science
  • atmospheric physics
  • applied mathematics
  • computer science
  • climate prediction
  • data engineering
  • software development
  • scientific programming
  • R
  • Python
  • Linux environment
  • geospatial datasets
  • climate datasets
  • statistical analysis
  • climate statistics
  • geophysical data analysis
  • subseasonal-to-decadal timescales
  • climate model validation
  • forecast quality assessment
  • multi-model approach
  • modes of variability
  • reproducible workflows
  • scalable workflows
  • HPC environments
  • version control
  • testing
  • documentation
  • coding standards

Soft Skills

  • Good written and verbal communication skills in English
  • Ability to work in a professional environment within a multidisciplinary and international team.
  • Problem-solving
  • proactive
  • result-oriented approach to work.
  • Capability to work independently and as a team
  • Good communication skills.

Job Description

The aim of the Earth System Services Group (ESS) is to research the impact of weather, atmospheric chemistry and climate upon socio-economic sectors such as renewable energy, agriculture, water management, forest fires and urban development and to demonstrate the ongoing value of earth system services to society and the economy. 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 position is suited for a technically strong early-career researcher or research engineer with a background in climate science, atmospheric physics, applied mathematics, computer science, or a related quantitative discipline. The ideal candidate combines domain knowledge in climate prediction with advanced data engineering and software development. The candidate will benefit from interdisciplinary training opportunities tailored to their experience and interests. The research will be positioned within the context of WMO’s Global Framework for Climate Services (GFCS), whose aim is to provide actionable climate information to key sectors of society. This position presents an opportunity to work alongside a wide range of leading international climate scientists delivering cutting-edge climate services to inform policy makers across Europe and worldwide.

Requirements

  • Having a minimum of a masters degree in Physics, Environmental Sciences, Mathematics, Computer Sciences or a related discipline.
  • Experience handling, analysing and validating datasets.
  • Proficiency in scientific programming in a suitable language (e.g., R, Python) and familiarity with working in a Linux environment.
  • Experience working with large geospatial or climate datasets, including gridded observational products and model outputs
  • Knowledge in statistical analysis
  • Good written and verbal communication skills in English. Spanish/Catalan desirable
  • Ability to work in a professional environment within a multidisciplinary and international team.
  • Knowledge in climate statistics and processes, or geophysical data analysis, with interest in subseasonal-to-decadal timescales
  • Knowledge of some of the following topics: climate model validation, forecast quality assessment, multi-model approach, modes of variability, will be positively evaluated.
  • Ability to design reproducible and scalable workflows within Linux-based and HPC environments.
  • Familiarity with software development best practices such as version control, testing, documentation, and coding standards.
  • Interest in user-driven climate services and the translation of technical developments into operational products.
  • Problem-solving, proactive, result-oriented approach to work.
  • Capability to work independently and as a team an international, very interactive and fast-paced environment.
  • Good communication skills.

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English

Nice to Haves

  • Spanish/Catalan desirable
  • Interest in user-driven climate services and the translation of technical developments into operational products.
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