Student Research Assistant in Advanced Artificial Intelligence for Traffic Safety

3 weeks ago


San Francisco, United States University of San Francisco Full time

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



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