How do I apply for the AI-based atmospheric emulator (RE2) - AI4S 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 AI-based atmospheric emulator (RE2) - AI4S role?

This position is a full-time, structured as a on-site role.

What educational background or degree level is required for the AI-based atmospheric emulator (RE2) - AI4S at Barcelona Supercomputing Center?

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

AI-based atmospheric emulator (RE2) - AI4S

Barcelona Supercomputing Center

Found 2 weeks ago

Location

Barcelona, Spain

Time

Full-time

Work Mode

On-site

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

2 weeks ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

Python
AI/ML frameworks
TensorFlow
PyTorch
deep learning architectures
machine learning models
UNIX/Linux environments
scripting languages
climate models
high-performance computing (HPC)
Git

Soft Skills

Ability to work independently
Ability to work within a team
Strong problem-solving skills
Attention to detail
Excellent communication skills

Job Description

The successful candidate will join the Computational Earth Sciences group to contribute to the design and development of an AI-based atmospheric emulator. This emulator will be used to simulate climate trajectories generated by very high-resolution, state-of-the-art climate models in the framework of Digital Twins of the Earth. The candidate will focus on creating a reliable and efficient emulator that can replicate the behaviour of complex climate models, enabling much faster simulations, saving energy, opening up new simulation protocols and interaction possibilities, and supporting climate science research.

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, or a related discipline.
A Master’s degree in a relevant field will be highly valued.
Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow or PyTorch.
Familiarity with state-of-the-art deep learning architectures and techniques.
Experience in developing and deploying machine learning models.
Experience in processing and managing large quantities of data for machine learning training pipelines.
Familiarity with UNIX/Linux environments and scripting languages.
Fluency in English is essential.
Proficiency in Spanish and other European languages would be advantageous.
Knowledge of climate science or experience working with climate models is highly valued.
Experience with high-performance computing (HPC) and optimizing models for large-scale simulations.
Experience with version control systems like Git.
Ability to work independently and within a team to achieve project goals.
Strong problem-solving skills and attention to detail.
Excellent communication skills to collaborate effectively with interdisciplinary teams.

AI & Machine Learning

AI Research

Languages

English

Nice to Haves

Master’s degree in a relevant field
Proficiency in Spanish
Proficiency in other European languages
Knowledge of climate science
Experience working with climate models

Apply Now

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