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Time Type:

FLSA Status:

Summary:

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.

Essential Functions:

• Help with literature review.

• Dataset preparation.

• Implementation of machine learning experiments.

• Evaluation of anomaly detection models.

• Documentation of results.

• Other duties assigned.

Position Type/Expected Hours of Work:

• Part-time.

• 5 hours per week.

Salary Range:

• $18.40 per hour.

Required Education and Experience:

• The position is suitable for students with experience in machine learning, data mining, continual learning, and anomaly detection.

• Experience with Python and familiarity with PyTorch is required.

Other Details

• This position is available only to enrolled American University students.

• Please note this job announcement is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

• American University is an E-Verify employer.

• Visit https://www.american.edu/hr/ for additional information about American University employment and benefits.

Current American University Employees

American University current employees (including those employed in student positions) must apply through their employee Workday account. If you are a current employee at American University, please log into Workday and select the Find Jobs report which will take you to our internal career listings.

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