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Student Research Assistant in Advanced Artificial Intelligence for Traffic Safety
4 months ago
Job Title:
Student Research Assistant in Advanced Artificial Intelligence for Traffic Safety
Job Summary:
Background:
The University of San Francisco's and Data Institute is seeking Student Research Assistants to contribute to a project focused on "Advanced Artificial Intelligence Research for Traffic Safety." This project aims to enhance traffic safety at intersections through real-time detection, classification, and tracking of vulnerable road users (VRUs) using advanced sensing technologies and artificial intelligence algorithms.
Responsibilities:
Research Support:
* Assist in conducting research on advanced artificial intelligence techniques for the detection, classification, and tracking of VRUs using video and point cloud data.
* Provide support in implementing and optimizing algorithms under the guidance of senior researchers.
* Help with data collection and analysis tasks as needed.
Development Assistance:
* Collaborate with the research team to implement algorithms and models for VRU detection and safety assessment.
* Assist in programming tasks using Python and relevant deep learning packages.
* Contribute to the development of Graph Neural Network (GNN) architectures for dynamic graph modeling.
Qualifications:
* Currently enrolled undergraduate or graduate student at the University of San Francisco.
* Strong interest in artificial intelligence, computer vision, and/or machine learning.
* Basic programming skills in Python or willingness to learn.
* Familiarity with deep learning concepts is a plus but not required.
* Ability to work effectively in a team environment and follow instructions closely.
* Excellent communication and organizational skills.
Full Job Description:
Background:
The University of San Francisco's and Data Institute is seeking Student Research Assistants to contribute to a project focused on "Advanced Artificial Intelligence Research for Traffic Safety." This project aims to enhance traffic safety at intersections through real-time detection, classification, and tracking of vulnerable road users (VRUs) using advanced sensing technologies and artificial intelligence algorithms.
Responsibilities:
Research Support:
* Assist in conducting research on advanced artificial intelligence techniques for the detection, classification, and tracking of VRUs using video and point cloud data.
* Provide support in implementing and optimizing algorithms under the guidance of senior researchers.
* Help with data collection and analysis tasks as needed.
Development Assistance:
* Collaborate with the research team to implement algorithms and models for VRU detection and safety assessment.
* Assist in programming tasks using Python and relevant deep learning packages.
* Contribute to the development of Graph Neural Network (GNN) architectures for dynamic graph modeling.
Qualifications:
* Currently enrolled undergraduate or graduate student at the University of San Francisco.
* Strong interest in artificial intelligence, computer vision, and/or machine learning.
* Basic programming skills in Python or willingness to learn.
* Familiarity with deep learning concepts is a plus but not required.
* Ability to work effectively in a team environment and follow instructions closely.
* Excellent communication and organizational skills.
Full-Time/Part-Time:
Part time
Pay Rate:
Hourly
Salary Range :
19.07 per hour
