Meteorological Technology International
  • News
    • A-E
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
    • G-P
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
    • R-S
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
    • T-Z
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    • April 2025
    • January 2025
    • September 2024
    • April 2024
    • Archive Issues
    • Subscribe Free!
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
LinkedIn Twitter Facebook
  • Sign-up for Free Weekly E-Newsletter
  • Meet the Editors
  • Contact Us
  • Media Pack
LinkedIn Facebook
Subscribe
Meteorological Technology International
  • News
      • Agriculture
      • Automated Weather Stations
      • Aviation
      • Climate Measurement
      • Data
      • Developing Countries
      • Digital Applications
      • Early Warning Systems
      • Extreme Weather
      • Hydrology
      • Lidar
      • Lightning Detection
      • New Appointments
      • Nowcasting
      • Numerical Weather Prediction
      • Polar Weather
      • Radar
      • Rainfall
      • Remote Sensing
      • Renewable Energy
      • Satellites
      • Solar
      • Space Weather
      • Supercomputers
      • Training
      • Transport
      • Weather Instruments
      • Wind
      • World Meteorological Organization
      • Meteorological Technology World Expo
  • Features
  • Online Magazines
    1. April 2025
    2. January 2025
    3. September 2024
    4. April 2024
    5. January 2024
    6. September 2023
    7. April 2023
    8. Archive Issues
    9. Subscribe Free!
    Featured
    April 15, 2025

    In this Issue – April 2025

    By Web TeamApril 15, 2025
    Recent

    In this Issue – April 2025

    April 15, 2025

    In this Issue – January 2025

    December 13, 2024

    In this Issue – September 2024

    August 8, 2024
  • Opinion
  • Videos
  • Supplier Spotlight
  • Expo
Facebook LinkedIn
Subscribe
Meteorological Technology International

Research Engineer for Python data pipelines (RE2) – AI Factory (Earth Sciences Department)

recruitmentBy recruitmentJune 2, 20257 Mins Read
Share LinkedIn Facebook Twitter Email
Share
LinkedIn Facebook Twitter Email
  • Full Time
  • Barcelona
  • Posted 1 month ago
Barcelona Supercomputing Center - Centro Nacional de Supercomputación

Website Barcelona Supercomputing Center - Centro Nacional de Supercomputación

Reference: 224_25_ES_EDD_RE2
Job title: Research Engineer for Python data pipelines (RE2) – AI Factory (Earth Sciences Department)
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.

Look at the BSC experience:
BSC-CNS YouTube Channel
Let’s stay connected with BSC Folks!

We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.

We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.

If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
Within the Earth Sciences department, led by Pr. Francisco Doblas-Reyes, the Data and Diagnostics Team is involved in the AI factory project.

The BSC AI Factory will integrate advanced technological resources, data and specialised talent.

This ecosystem will provide companies, startups, SMEs and institutions with access to AI-optimised supercomputing infrastructure and a network of complementary services.

The aim is to democratise access to AI resources for resource-constrained sectors and thus foster innovation in areas such as biomedicine, climate science and chip design, following the European vision of building generative AI aligned with EU values. different European projects where the design of efficient data pipelines is required to convert from raw data in multiple formats into data that can be used by analysis software.

The successful applicant will join the Data and Diagnostics Team, within the Earth Sciences Department, and will collaborate with the Earth Artificial Intelligence team to design the practical implementation of Earth data pipelines to transform the data from the native format (grib, netcdf, CSV or propietary formats from the satellites) to the format required by AI models. This includes the technical development of the tool but also their performance analysis and optimization, their integration in a full workflow, and the testing, using the AI models developed and used by the AI team.

The successful candidate will also participate in project meetings to report on the project’s progress and justify the technical choices made in the software’s design.

This project is funded by the European Union’s Recovery and Resilience Facility, in accordance with Council Regulation (EU) 2020/2094 of 14 December 2020, and regulated by Regulation (EU) 2021/241 of the European Parliament and of the Council of 12 February 2021, in the context of the “BSC AI Factory” project.

The BSC AI Factory project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101234399. The JU receives support from the European Union’s Horizon Europe Programme and Spain, Portugal, and Türkiye.

For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/bsc-ai-factory
Key Duties
Contribute to the development and optimization of climate data pipelines for AI models
Test the data generated using the AI models
Report to the team and the group on the technical developments of the pipeline
Ability to develop AI-ready datasets
Requirements
EducationHaving a Masters degree in Computer Science, Telecommunications, Physics or related discipline
Essential Knowledge and Professional ExperienceExcellent computing skills in Python and experience with UNIX/LINUX environments and scripting languages (bash,etc)
Experience in managing large datasets and Python parallelization
Additional Knowledge and Professional ExperienceKnowledge of climate data formats (NetCDF, grib) and other data formats will be valued
Experience in AI modeling will be valued
Good programming skills to manage big and collaborative projects and experience with git and/or SVN
CompetencesCapacity to interact and build strong relations with both climate and computer scientists.
Excellent written and verbal communication skills.
Ability to take initiatives, prioritize the tasks and work under set deadlines.
Ability to work both independently and within a team.
Ability to learn and adapt to multiple programming languages easily.
Fluency in English, both speaking and writing
Conditions
The position will be located at BSC within the Earth Sciences Department
We offer a full-time contract (37.5h/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: 23 paid vacation days plus 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
Applications procedure and process
All applications must be submitted via the BSC website and contain:
A full CV in English including contact details
A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process

 

The selection will be carried out through a competitive examination system (“Concurso-Oposición”). The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. – 40 points
Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. – 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.

The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.

In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.

The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.

 

At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment@bsc.es.
For more information, please follow this link.

Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
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.
For more information follow this link

To apply for this job please visit www.bsc.es.

Previous ArticleSoftware coordinator (RE2) – AI Factory (Earth Sciences Department)
Next Article Research Engineer/Postdoc for Atmospheric Composition team (RE2/R2)

Read Similar Stories

Data

Met Office and University of Exeter AI model boosts low-cost offshore modeling

July 7, 20254 Mins Read
Data

Uncrewed surface vehicle fleet joins Global Ocean Observing System

July 4, 20254 Mins Read
Features

FEATURE: A century of the Shipping Forecast

July 4, 20254 Mins Read
Latest News

Met Office and University of Exeter AI model boosts low-cost offshore modeling

July 7, 2025

Uncrewed surface vehicle fleet joins Global Ocean Observing System

July 4, 2025

FEATURE: A century of the Shipping Forecast

July 4, 2025

Receive breaking stories and features in your inbox each week, for free


Enter your email address:


Supplier Spotlights
  • ELDES S.r.l.
Latest Job Postings
  • smo

    • Ireland
    • Met Éireann
    • Full Time
    • Temporary
  • Senior HPC for Earth Sciences Team Leader (RE3)

    • Barcelona
    • Barcelona Supercomputing Center - Centro Nacional de Supercomputación
    • Full Time
Getting in Touch
  • Contact Us / Advertise
  • Meet the Editors
  • Download Media Pack
  • Free Weekly E-Newsletter
Our Social Channels
  • Facebook
  • LinkedIn
© 2025 UKi Media & Events a division of UKIP Media & Events Ltd
  • Cookie Policy
  • Privacy Policy
  • Terms and Conditions
  • Notice and Takedown Policy

Type above and press Enter to search. Press Esc to cancel.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Cookie settingsACCEPT
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the ...
Necessary
Always Enabled

Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

CookieDurationDescription
cookielawinfo-checbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

SAVE & ACCEPT
Powered by