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 successful candidate will join the Machine Learning for Biomedical Research unit, a dynamic research group within the Life Sciences department.
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.
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.
Data de tancament: Dimarts, 15 Octubre, 2024
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