Research Engineer Generative Artificial

**Job Reference**: - 775_24_LS_MLBR_RE2**Position**: - Research engineer Generative Artificial Intelligence for Biomedical Research (RE2) - AI4S**Closing Date**: - Friday, 15 November, 2024**Reference**: 775_24_LS_MLBR_RE2**Job title**: Research engineer Generative Artificial Intelligence for Biomedical Research (RE2) - AI4S**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 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.**Context And Mission** - The Machine Learning for Biomedical Research unit at the BSC, led by Dr. Davide Cirillo, is currently offering a research engineer position. This position focuses on facilitating the use of artificial intelligence (AI) in biomedical research, with special emphasis on generative AI. This position places a strong emphasis on both the developmental and infrastructural aspects of AI models used in biomedicine. The Research Engineer will not only contribute to the development and implementation of state-of-the-art AI techniques—working with diverse data types such as images, genomic sequences, time series, and texts—but will also lead efforts in optimizing and deploying these systems within our sophisticated HPC environment. The goal is to enhance computational robustness and efficiency, which are crucial for handling the complex workloads of biomedical research and advancing technological progress in Life Sciences at BSC. The Department includes multiple expert scientists that work on various aspects of computational biology, including bioinformatics for genomics, proteomics and transcriptomics data analysis, to computational biochemistry, natural language processing and network science. The Researcher will work in a highly sophisticated HPC environment, have access to the multiple computational infrastructures available at BSC, and establish collaborations with experts in multiple areas. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan. "La financiación de estas actuaciones/becas y contratos, procede del Mecanismo de Recuperación y Resiliencia de la Unión Europea-Next Generation, en el marco de la Invitación General de la entidad pública empresarial Red.es para participar en los programas de atracción y retención del talento dentro de la Inversión 4 del Componente 19 del Plan de Recuperación, Transformación y Resiliencia.**Key Duties** - Design and implementation of robust AI systems with special emphasis on generative AI, such as Large Language Models (LLMs), Diffusion Models,Variational Autoencoders. - Optimization of AI models for high-performance computing environments, enhancing scalability and processing efficiency. - Interact efficiently with the HPC environment of the Barcelona Supercomputing Center. - Collaborate closely with interdisciplinary teams within the BSC, as well as with international and local experts from both public and private sectors. - Contribute to research projects funded by EU programs and national schemes. **Requirements**: - Education - BSc in Computer Science, Physics, Mathematics or related. - MSc in data science, machine learning or similar or computational biology. - Essential Knowledge and Professional Experience - Experience in deep learning and other machine learning methodologies. - Experience in MLOps, particularly related to deploying and managing AI models in HPC settings. - Demonstrable skills in software development and system architecture, with a focus on AI-driven technologies. - Additional Knowledge and Professional Experience - Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous. - Competences - Good communication and presentation skills - Ability to work both independently, within a team and