Research Engineer - Machine Learning - Emulators (RE2)
2 days ago
Barcelona
Join to apply for the Research Engineer - Machine Learning - Emulators (RE2) role at Barcelona Supercomputing Center 4 days ago Be among the first 25 applicants Join to apply for the Research Engineer - Machine Learning - Emulators (RE2) role at Barcelona Supercomputing Center Job Reference 541_25_ES_FM_RE2 Position Research Engineer - Machine Learning - Emulators (RE2) Closing Date Monday, 08 September, 2025 Reference: 541_25_ES_FM_RE2 Job title: Research Engineer - Machine Learning - Emulators (RE2) 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 We are looking for a computer scientist or a climate scientist with experience in programming to work on projects that involve Machine Learning applied to Earth Sciences. The person appointed will be involved in different EU and applied research projects, with the aim of (but not limited to) creating large-scale machine learning datasets, data workflows, and machine learning models for different applications in Earth Sciences, including a machine learning-based climate emulator. This position, therefore, presents the opportunity to work alongside a wide range of leading international machine learning experts and climate scientists delivering cutting-edge climate science across Europe. Successful candidates will benefit from expert training and BSC-CNS staff benefits: an international multidisciplinary scientific environment and advanced applied research training. We encourage applications from highly motivated candidates with demonstrated experience in machine learning and climate science and interest in applied research projects within the context of climate prediction. Key Duties • Contribute to the creation of data workflows for creating large-scale Machine Learning datasets for Earth Sciences applications, • Design, develop, and evaluate data-driven emulators testing different types of machine learning models, • Interact with scientists in the group and in the department and possibly conduct a broader user study in order to improve usability of the dataset created, • Participate in scientific publications, • Explore the use of foundation models for weather and climate prediction, • Education, • Having a degree in Telecommunication, Computer Science, Environmental Sciences or equivalent, • Essential Knowledge and Professional Experience, • Master's in computer science, machine learning, data science or related fields, • Experience handling, analyzing and validating large datasets, • Experience in developing and training Machine Learning models, • Proficiency in Python, Machine Learning libraries and familiarity with working in a UNIX environment, • Additional Knowledge and Professional Experience, • Experience working with climate models, • Experience working with climate datasets, • Knowledge on some of the following topics: Seasonal climate prediction, Explainable AI, Generative Neural Networks, large-scale dataset creation, • Competences, • Problem-solving, pro-active, result-oriented work attitude, • Capability to work in an international and fast-paced work, • Good communication skills, • Good written and verbal communication skills in English, • 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, • A full CV in English including contact details, • Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points, • Entry level, • Contract, • Engineering and Information Technology Get notified about new Research Engineer jobs in Barcelona, Catalonia, Spain . 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