Buscar empleo: 1000+ ofertas de trabajo de Educación en Vilapicina I La Torre Llobeta (mayo 2026) - page 5

Research Engineer - Machine Learning / LLMs (RE2)

hace 2 días

Barcelona

Position Descubra si esta oportunidad es adecuada para usted leyendo toda la información que sigue a continuación. Research Engineer - Machine Learning / LLMs (RE2) Closing Date: Thursday, 21 May 2026 About BSC The Barcelona Supercomputing Center (BSC-CNS) is Spain’s leading supercomputing centre, housing MareNostrum, one of Europe’s most powerful supercomputers. As a founding and hosting member of PRACE and the host entity for EuroHPC JU, BSC-CNS provides high‑performance computing services and conducts R&D across computer and computational science, serving a multidisciplinary community of over 1,000 staff from 60 countries. Context and Mission We are looking for a machine learning researcher with expertise in large language models (LLMs) to contribute to projects that aim at improving science communication in the context of climate change and mitigation. The role involves developing and applying LLM‑based approaches to enhance the accessibility, accuracy, and impact of climate‑related information, bridging the gap between scientific research and broader audiences. The selected candidate will work on cutting‑edge AI research in collaboration with leading experts in machine learning and climate science, contributing to European and applied research projects and exploring innovative AI‑driven methods for processing and generating climate‑related content. Key Duties 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, summarise, 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 BSC contributions to several project deliverables. Design and create a large‑scale dataset of climate information to be used for training and fine‑tuning 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. Requirements 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 optimisation 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 environment. Good written and verbal communication skills in English. Ability to work in a professional environment within a multidisciplinary and international team. Conditions The position will be located at BSC within the Earth Sciences Department. We offer a full‑time contract (35 h /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, and support for relocation procedures. Duration: open‑ended contract linked to the project and budget duration. Holidays: 22 days of holidays + 6 personal days + holidays on 24 and 31 December as per collective agreement. Salary: competitive and commensurate with qualifications and experience, in line with the cost of living in Barcelona. Starting date: as soon as possible. Application Procedure and Process All applications must be submitted via the BSC website and contain: A full CV in English, including contact details. A cover/motivation letter (in English) specifying the area and topics for consideration, plus two references for further contacts. Applications lacking this document will not be considered. Development of the Recruitment Process The selection will be carried out through a competitive examination system. The process consists of two phases: Curriculum Analysis: Evaluation of previous experience, scientific history, degree, training, and other professional information. (40 points). Interview phase: The highest‑rated candidates from the curriculum stage will be invited for an interview conducted by the department and Human Resources. Technical competencies, knowledge, skills and professional experience, as well as personal competencies, will be evaluated. (60 points). A minimum of 30 out of 60 points is required for eligibility. The recruitment panel will comprise at least three people, with at least 25 % representation of women. BSC‑CNS is an equal‑opportunity employer committed to diversity and inclusion. xcskxlj We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic. #J-18808-Ljbffr

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