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-of-core techniques, GPU algorithms and architecture. Work duties As an associate senior lecturer, you will have the chance to apply a long-term focus on the challenging research questions you are passionate
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-edge GPU clusters housed at IACS and CEWIT. The Empire Innovation Professor will join a robust community of scholars committed to advancing AI research for scientific discovery and engineering design
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computationally demanding. For example, it solves dynamic programming problems with GPU acceleration to make forecasts within a reasonable amount of time. The Software Engineer improves the OLG model codebase by
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, such as aircraft tugs, ground power unit (GPU), lavatory service cart, de-icing cart, forklift, golf cart, UTV, and airport shuttles and vehicles. Renders grounds maintenance, such as mowing, cutting trees
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experiment operation in 2028. Emphasis has to be put on the application of the software in real-time, making use of massive parallelism on CPU and/or on GPU. Your profile: From the applicant, we expect a
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developing software in a Linux environment. Experience running numerical experiments on shared HPC facilities (e.g., GPU clusters). Experience in team collaboration in software development and awareness
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%) Use tools to identify opportunities to improve performance or understand resource use (utilization of cores, memory, GPU, etc.) in AI workflows. Engage with Ohio, regional and national professional
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of unparalleled computing resources in the academic environment by optimizing AI/ML models including scaling models across a large set of GPUs; building or optimizing LLMs to tackle new, complex tasks; developing
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performance on neuromorphic hardware. What you will do Develop and train CNN and SNN models using frameworks like Keras, PyTorch, and SNNtorch Implement GPU acceleration using CUDA for efficient training
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) general-purpose hardware such as accelerators for AI and ML, high-performance computing, low-power edge computing, quantum computing, cybersecurity, chiplets, and CPU, TPU, GPU, and FPGA systems; or (2