Post Doctoral Fellow (cf)

The Faloutsos lab at Carnegie Mellon University is seeking a highly motivated candidate for a postdoctoral fellowship to do cutting edge research at the interface of complex time-evolving graphs, financial services, and machine learning. The fellow will focus on mapping the structure and dynamics of complex financial systems, extracting nontrivial patterns, detecting anomalous behaviors, and predicting outcomes.

Responsibilities:

• Develop machine learning and deep learning algorithms for fraud detection in large-scale financial transactions.
• Perform large scale data analytics and pattern mining on graphs
• Work with a hybrid environment composed of researchers, data scientists, and financial services experts
• Report findings in high impact peer-reviewed venue
• PhD in Machine learning
• Experience in anomaly detection, graph mining and time series.