PhD Research Intern – Graph Learning & Agentic AI for Fraud Detection
Tasks
- Conduct empirical evaluation on production scale datasets
- Design scalable methods for dynamic heterogeneous fraud graphs
- Develop robust learning for adversarial non stationary environments
- Formulate research directions in graph learning for fraud detection
- Investigate agentic AI and LLM augmented risk reasoning
- Support patent development and academic submissions
- Translate research insights into system level implications
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Machine Learning | Agentic AI | Graph Neural Networks | Graph Representation | Graph Representation Learning | Graph transformers | JAX | Language Models | Large Language Models | Machine Learning | Neural Networks | PyTorch | Python | Representation Learning | Robust machine learning | TensorFlow | Transformer Architectures | Trustworthy Machine Learning
Education
Roles
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