Summer Research Assistant (Student)

American UniversityWashington, DC
Onsite

About The Position

The Summer Research Assistant (RA) position will support a research project on continual lifelong anomaly detection in high-stakes environments, with a focus on extending the pyCLAD library to video and graph modalities. Once implementation is complete, the student will help with literature review, dataset preparation, implementation of machine learning experiments, evaluation of anomaly detection models, and documentation of results. The project is especially relevant to applications where rare, evolving, or unexpected events must be detected reliably over time, such as cybersecurity, surveillance, infrastructure monitoring, healthcare, and scientific data analysis.

Requirements

  • Experience in machine learning, data mining, continual learning, and anomaly detection.
  • Experience with Python.
  • Familiarity with PyTorch is required.
  • Must be an enrolled American University student.

Responsibilities

  • Help with literature review.
  • Dataset preparation.
  • Implementation of machine learning experiments.
  • Evaluation of anomaly detection models.
  • Documentation of results.
  • Other duties assigned.
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