Role overview
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:
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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.
What you'll work on
- Develop and apply large language models for science communication, improving the accessibility and clarity of climate-related information.
- Design and implement machine learning models to process, summarize, and generate climate science content for diverse audiences, including researchers, policymakers, and the public.
- Conduct experiments and evaluations to assess the effectiveness of LLM-driven approaches in science communication and refine models based on feedback.
- Participate in the BSC contributions to several project deliverables
- Design and create a large-scale dataset of climate information to be used for training and finetuning machine-learning models
- Evaluate the performance of different machine learning models in the communication of climate information
- Contribute to scientific publications in high-impact journals and conferences to present the research findings
What we're looking for
- Education
- Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Essential Knowledge and Professional Experience
- Proven experience in developing and applying Large Language Models (LLMs), including fine-tuning and prompt engineering.
- Experience with data preprocessing, model evaluation, and optimization techniques for language models.
- Strong background in machine learning and deep learning frameworks such as PyTorch or TensorFlow.
- Proficiency in Python and experience with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
- Familiarity with climate science concepts or a strong willingness to learn about climate-related challenges.
- Ability to work in an interdisciplinary team, collaborating with AI researchers, climate scientists, and science communicators.
- Excellent communication skills, with the ability to explain complex AI models and results to non-expert audiences.
- Additional Knowledge and Professional Experience
- Experience in scientific communication, knowledge distillation, or AI-driven text generation.
- Experience working on European or international research projects.
- Publications in peer-reviewed conferences or journals
- Competences
- Problem-solving, pro-active, result-oriented work attitude
- Capability to work in an international and fast-paced work
- Good written and verbal communication skills in English
- Ability to work in a professional environment within a multidisciplinary and international team
Interview process
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.
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