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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile First Stage
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. This role is designed for an early-career researcher who recently completed (preferably within the last 10 years) a PhD in biomedical informatics, computing, data science, artificial intelligence, or a
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scientific domains. Preferred Experience: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling
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collaboratively in a research-focused environment. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in
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track record of open-source contributions. Project background We train open foundation models with hundreds of billions of parameters on thousands of GPUs on one of the largest AI-ready supercomputers in
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), which operates a large multi-thousand-core cluster with GPU co-processors and PhD-level consulting staff. Pitt ECE also leads the NSF Center for Space, High-performance, and Resilient Computing (SHREC
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-of-the-art AI computing infrastructure with large-scale GPU clusters. * Opportunities to collaborate with investigators across Mayo Clinic Arizona, Rochester, and Florida campuses. * Integration with
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Linux/Unix, and running algorithms on CPUs and GPUs Deep learning frameworks, particularly Python and PyTorch Medical image segmentation and computer vision model development Large language models and
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a weekly basis. Required Qualifications • Degree in a relevant area such as computer science, information technology, or significant relevant IT experience. • Experience with containerization
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, and maintaining automated data pipelines for large-scale time-series or imaging datasets. Experience with HPC/cluster computing environments, including SLURM job scheduling and GPU-accelerated