Postdoctoral Researcher – Artificial Intelligence For Synthetic Data Generation In Biomedicine (R2)

.Postdoctoral Researcher – Artificial Intelligence for Synthetic Data Generation in Biomedicine (R2)Closing Date: Sunday, 15 September, 2024Reference: 285_24_LS_MLBR_R2Job title: Postdoctoral Researcher – Artificial Intelligence for Synthetic Data Generation in Biomedicine (R2)About BSCThe 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. The mission of BSC is to research, develop and manage information technologies to facilitate scientific progress.We are particularly interested in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases in science and IT research.Context And MissionThe Machine Learning for Biomedical Research unit at the BSC is currently offering a postdoctoral researcher position. This role focuses on employing Artificial Intelligence (AI) techniques to synthesize various types of biomedical data. Synthetic data generation in biomedicine involves creating artificial datasets that mimic real biological data, which is crucial for enhancing privacy protection, increasing data availability, and facilitating more robust research and development.The selected candidate will collaborate extensively with senior researchers within the Life Sciences Department and other research groups at the BSC. The researcher will develop and implement systems for creating synthetic datasets, which will be pivotal for training and evaluation processes.Applicants should possess a robust understanding of a broad spectrum of biomedical data and be proficient in deep learning techniques. Familiarity with privacy-preserving AI and explainable AI (XAI) is preferred.This position offers an exceptional opportunity to contribute to significant advancements in AI-driven biomedical research.Key DutiesDevelop computational solutions for the generation of synthetic instances of biomedical data.Implement state-of-the-art generative models, such as Transformers, Diffusion models, Variational Autoencoders (VAE), Generative Adversarial Networks (GAN).Interact efficiently with the HPC environment of the Barcelona Supercomputing Center.Explore the application of explainability to the required tasks.Demonstrate skills in scientific communication.Establish and maintain collaborations with national and international researchers in healthcare and biomedical research.RequirementsEducationPhD in computer science or bioinformatics with a strong AI component.Alternatively, an MSc in AI or Bioinformatics with a strong computer science or applied mathematics background.Essential Knowledge and Professional ExperienceExperience in AI methodologies, specifically biomedical data analysis.Proficiency in deep learning frameworks (PyTorch, TensorFlow).Interest in the life sciences area.Additional Knowledge and Professional ExperienceExperience in synthetic data generation