How do I apply for the Research Engineer/Researcher Climate Services Team (RE2/R2) position at Barcelona Supercomputing Center and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Barcelona Supercomputing Center paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Research Engineer/Researcher Climate Services Team (RE2/R2) role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 12 months.

What educational background or degree level is required for the Research Engineer/Researcher Climate Services Team (RE2/R2) at Barcelona Supercomputing Center?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does Barcelona Supercomputing Center provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

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.

Data & Analytics

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.

Apply Now

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