Within the Computational Earth Sciences group, the Models and Workflows (MWT) team studies and develops essential frameworks and tools for efficiently running modeling experiments on HPC infrastructures. MWT is a growing team of approximately 30 members, closely collaborating with the Performance, Data, and AI teams, as well as the other scientific groups within the Department.

The successful candidate will contribute to the deployment and development of state-of-the-art external and in-house workflow solutions supporting the complete lifecycle of AI-based scientific workflows, from data preparation and model training to validation, deployment, and reproducible execution. The work will be carried out within European research projects developing next-generation AI-enabled digital twins for climate applications, integrating HPC systems, AI infrastructures, and large-scale data services.

The position offers the opportunity to collaborate with leading European research institutions in the areas of AI, climate science, workflow technologies, and research software engineering.

Develop,



maintain, and deploy workflow solutions for AI-driven scientific applications.Contribute to the development of reproducible and traceable computational workflows following FAIR principles and research software engineering best practices.Collaborate with AI researchers, climate scientists, and software engineers to integrate new AI models into operational workflows.Contribute to software testing, continuous integration, documentation, and dissemination of developed technologies.Participate in European collaborative research projects and interact with international partners.

Requirements

EducationBSc in Computer Science, Computational Science, Data Science, Artificial Intelligence, Software Engineering, or a related discipline.Having a Master’s degree will be valued.Essential Knowledge and Professional ExperienceExperience in scientific software development using Python.Experience deploy

📌 Workflows Engineer for AI processes (Barcelona)
🏢 HiPEAC
📍 Barcelona