Job Abstract

Job Summary

The Data Analyst is a research fellow position. The Data Analyst will perform data analytics and apply machine learning algorithms as a research assistant in the principal investigator's research group.

The Data Analyst will learn and apply state-of-the-art python-based machine learning and computer vision algorithms for autonomous driving systems technology. They will also assist in general office/administrative tasks and likely engage in other activities outside of this role aimed at developing their knowledge of stakeholder management and reporting, professional confidence, technical sophistication, and other project management-related skill.

Essential Functions

• Manage the datasets related to the operation of the AVS, such as multivariate time series and video frames. The datasets come from a variety of sensors, such as LiDAR, RADAR, stereoscopic cameras, GPS, battery consumption, and more.
• Perform descriptive statistics and exploratory analysis of the datasets using python and R, and/or other computing environments, as needed.
• Develop codes in python and R (and/or other computing environments) to extract meaningful information from the datasets as described in the project’s contract.
• Use of machine-learning and computer vision algorithms on video frames for object detection, classification, and tracking.
• Incorporate into the project’s codes traditional and state-of-the-art machine-learning algorithms for condition monitoring, anomaly detection, and fault classification.
• Maintain the project’s codes through a version-control system (such as GitHub).
• Prepare summarized reports from the results of the analyzed data.
• Perform quantitative statistical analyses using R, on responses to a survey related to the project.

Required Qualifications

• Bachelor’s degree in computer science, data science, mechanical engineering or other relevant field
• At least 1.5 years of relevant experience

Preferred Qualifications

• Excellent programming skills in Python, R, Matlab or other programming language
• Experience with machine learning algorithms and computer vision

Physical Requirements

• Typically sitting at a desk/table

Location

• University City – Philadelphia, PA

Additional Information

This is a full-time temporary position classified as non-exempt. The pay offered is based on the successful candidate’s qualifications and experience, department budget, and an internal equity review.

For information about benefits, please review Drexel’s Per Diem/Casual/Temporary Benefit Fact Sheet.

Special Instructions to the Applicant

Please make sure you upload your CV/resume and cover letter when submitting your application.

A review of applicants will begin once a suitable candidate pool is identified.

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