PhD Research Intern – Graph Learning  Agentic AI for Fraud Detection

Added
less than a minute ago
Type
Internship
Salary
Salary not provided

Related skills

python pytorch fraud detection llms agentic ai

📋 Description

  • Research directions in graph learning for fraud detection (GNNs, graph transformers)
  • Design scalable, dynamic, heterogeneous fraud graphs
  • Investigate agentic AI and LLM-augmented risk reasoning
  • Develop robust learning for adversarial and non-stationary environments
  • Empirical evaluation on production-scale datasets
  • Translate research insights to system-level implications
  • Patent development and submissions to top venues

🎯 Requirements

  • Currently pursuing a PhD in CS, ML, statistics, mathematics, or related field
  • Strong foundation in graph learning (GNNs/graph transformers)
  • Transformer architectures and deep learning
  • LLMs and agentic AI systems
  • Adversarial, robust, or trustworthy ML
  • Demonstrated research capability (publications/preprints)
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