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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will
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19,000 graduate students. The university is home to the HiPerGator 3.0 Supercomputer and HiPerGator AI, one of the most powerful GPU-enabled AI systems in U.S. higher education. The Department of Geography
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preferred). Essential Functions of Position: Manage and maintain multiple GPU clusters and networked storage systems. Monitor system performance, troubleshoot hardware issues, and coordinate repairs
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Computer Science, Information Technology or a related field Proficiency with multiple Linux distributions such as Ubuntu, CentOS, Debian, and Red Hat. Hands-on experience with Git and at least one scripting
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site-specific and realistic radio propagation data through GPU-accelerated ray tracing to train AI/ML algorithms. Exploring the use of generative models for wireless channel modeling, e.g., to produce
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software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g., Docker, Podman, Apptainer), networking
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knowledge of multiple modern NLP and LLM libraries and models. Hands-on experience adapting and fine-tuning large language models for domain-specific clinical applications, with attention to data efficiency
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NLP, LLM, machine learning and deep learning skills. Practical experience building NLP models and pipelines in a secure, HIPPA compliant healthcare environment. Expert-level knowledge of multiple modern
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with AI inside HPC applications is considered a plus. Experience with performance modeling (such as computer architecture simulation) for multiple types of computer hardware (e.g. CPU/GPU/NPU, or network
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will