Job Reference: 542_24_LS_LS_R2
Position: Postdoctoral Researcher Applying Deep Learning to Medical Imaging
Closing Date: Monday, 30 September, 2024
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, and is a founding and hosting member of the European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe). BSC is now the hosting entity for EuroHPC JU, which leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop, and manage information technologies 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. 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 MissionThe field of medical imaging is rapidly evolving, with key trends emerging in 2024, including growth in advanced imaging techniques, rise of hyperspectral and molecular imaging, integration of AI and machine learning, and a focus on patient-centric imaging. New technologies are being developed to improve imaging quality and efficiency, including 3D imaging and other innovative modalities.
The Life Sciences department will incorporate a new research line to harness the potential of deep learning to drive innovation and solve complex problems across various domains using advanced Artificial Intelligence methods (Medical Imaging, Deep/Machine learning, Computer Vision, etc.). This new group is committed to boosting the power of advanced imaging technologies to improve healthcare outcomes.
Key DutiesParticipate actively in the research lines of the group.Contribute to writing research proposals.Publish research findings in top-tier conferences and high-impact journals.Supervise junior researchers and provide mentorship in their career path.Participate in technical meetings with internal and external collaborators.Promote scientific dissemination and scientific activities in a team.RequirementsEducation: PhD in artificial intelligence, machine learning, computer vision, computer science, computational biology, bioinformatics, physics, mathematics, or related fields.
Essential Knowledge and Professional Experience:
Experience in image analysis, medical imaging, and computer vision.Proven excellent scientific publication track record.Knowledge of UNIX/Linux environments.Proficiency in Python or equivalent programming languages.Deep knowledge in deep learning frameworks (Pytorch, TensorFlow, Keras).Participation in National and European projects.Additional Knowledge and Professional Experience:
Experience in Data science and Data-centric methodologies (Uncertainty modeling, Noisy data, etc.).
#J-18808-Ljbffr