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Paid Internship
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12Open Positions

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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.

Related Field

  • AI & Machine Learning

Related Subfield

  • 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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