Job Details

Postdoctoral Research Fellow in Advanced Artificial Intelligence for Equitable Safety of Vulnerable Road Users
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Position Number: 5212463
Location: San Francisco, CA
Position Type: Science - Computer Science

Postdoctoral Research Fellow in Advanced Artificial Intelligence for Equitable Safety of Vulnerable Road Users
University of San Francisco

R0009236
101 Howard

Job Title:
Postdoctoral Research Fellow in Advanced Artificial Intelligence for Equitable Safety of Vulnerable Road Users

Job Summary:
The University of San Francisco's Data Institute is seeking a Postdoctoral Research Fellow to contribute to the project titled "Advanced Artificial Intelligence Research for Equitable Safety of Vulnerable Road Users." 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.

The appointment is tentatively expected to run for 1 calendar year, with the possibility of extension for an additional 6 months.

Full Job Description:

Responsibilities:

Research

Conduct research on advanced artificial intelligence techniques for the accurate detection, classification, and tracking of VRUs using video and point cloud data.
Develop innovative sensor calibration and fusion techniques to improve the precision and reliability of class perception mechanisms for VRUs.
Perform real-time motion analysis, conflict assessment, and risk assessment based on the status and predicted trajectory of VRUs.
Integrate Graph Neural Network (GNN) architectures for modeling relational dependencies among VRUs and improving trajectory prediction accuracy.

Development

Collaborate with interdisciplinary teams to design and implement algorithms and models for VRU detection and safety assessment.
Utilize deep learning methodologies for video and point cloud object recognition and detection.
Implement and optimize GNN architectures for dynamic graph modeling and trajectory prediction.

Qualifications

Ph.D. or equivalent experience in computer science, engineering, or related field.
Strong publication record demonstrating expertise in deep learning techniques related to video and point cloud object recognition/detection.
Familiarity with main deep learning packages such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages, particularly Python
Familiarity with Graph Neural Networks (GNNs).
Experience with sensor calibration, fusion techniques, and real-time motion analysis preferred.
Ability to work collaboratively in interdisciplinary teams.
Excellent analytical and problem-solving skills.

Submission Instructions:

Application Deadline: May 15, 2024

Please submit the following application materials:
1. Research statement (not more than 3 pages)
2. Writing samples
3. CV or resume
4. Contact information for 3 potential recommenders

Applications will be accepted on a rolling basis, but early submission is encouraged. The appointment is tentatively expected to run for 1 calendar year, with the possibility of extension for an additional 6 months.

Full-Time/Part-Time:
Full time

Pay Rate:
Salary

Salary Range :
$81,120 annualized

To apply, visit https://usfca.wd5.myworkdayjobs.com/en-US/USF_Staff/job/101-Howard/Postdoctoral-Research-Fellow-in-Advanced-Artificial-Intelligence-for-Equitable-Safety-of-Vulnerable-Road-Users_R0009236.

The University of San Francisco is located in the heart of one of the worlds most innovative and diverse cities, and is home to a vibrant academic community of students and faculty who achieve excellence in their fields. Its diverse student body enjoys direct access to faculty, small classes and outstanding opportunities in the city itself. USF is San Francisco's first university, and its Jesuit Catholic mission helps ignite a students passion for social justice and a desire to "Change the World From Here." For more information, visit http://www.usfca.edu.