Position Summary

The Georgia Advanced Computing Resource Center (GACRC), a division of Enterprise Information Technology Services at the University of Georgia, seeks to establish an AI Research Facilitator position to support the University’s rapidly expanding needs in artificial intelligence and data-driven research. The GACRC provides advanced computing and research storage services to more than 500 research groups, and recent multimillion-dollar investments in GPU-accelerated infrastructure have positioned UGA to support leading-edge AI research across disciplines.

Knowledge, Skills, Abilities and/or Competencies

• Demonstrated expertise using modern AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
• Deep understanding of large language models (LLMs), including model architectures, training and fine-tuning approaches, inference pipelines, and responsible use in research contexts.
• Proficiency in Python, R, CUDA, or other languages common in AI research.
• Experience working with GPU-accelerated computing resources, preferably within an HPC environment.
• Experience preparing, managing, and curating datasets for machine learning workflows.
• Ability to translate faculty research goals into appropriate AI methods, models, and computational strategies.
• Working knowledge of ethical AI principles, bias mitigation, and reproducibility practices.
• Strong communication skills, including experience developing workshops, training materials, or documentation for varied audiences.
• Demonstrated ability to work effectively in collaborative, interdisciplinary research environments.

Duties/Responsibilities

AI Research Support and Consultation (40%)

• Provide hands-on consultation to faculty and graduate students integrating AI, machine learning, or data-intensive methods into their research workflows.
• Assist with data preparation, model development, training optimization, and performance tuning on GPU-accelerated systems.
• Offer tailored, high-engagement guidance to new AI-focused faculty as well as existing researchers expanding into AI-driven approaches.

Training, Outreach, and Community Building (30%)

• Develop workshops, online training modules, and documentation to broaden AI skills and best practices across campus.
• Support interdisciplinary collaborations by connecting researchers with shared computational approaches.
• Engage departments adopting AI for the first time to ensure sustainable and responsible integration of AI tools into research and teaching.

Coordination and Institutional Alignment (20%)

• Work closely with GACRC and EITS leadership, the Office of Research, the Institute for AI, and academic units to ensure services align with evolving research needs.
• Provide input to help guide institutional strategy for AI computing, workflows, and research support.

Technology Monitoring and Evaluation (10%)

• Stay current with emerging AI frameworks, workflows, tools, and best practices.
• Assess new technologies and their potential to improve research productivity or strengthen UGA’s AI research capabilities.