Postdoc in AI for Transportation Safety & LiDAR

University of Mississippi Medical Center; Lowell (MA); On-site; USD 50,000 - 63,000; Full time

Job summary

The University of Massachusetts Lowell invites applications for a Postdoctoral Research Associate in Engineering. The successful candidate will conduct analytical research and data collection in transportation safety with an emphasis on railroad grade crossing safety using LiDAR sensors, and assist the supervisor with scholarly articles and technical reports.

Initial appointment is for 6 months with a possibility of renewal based on funding and productivity.

Qualifications

• PhD in Civil and Environmental Engineering, Electrical and Computer Engineering, or Computer Science.
• Minimum three years of experience (including MS and PhD. Research experience) in relevant research.
• Ability to work effectively as a team player.
• Strong technical writing and communication skills.
• Strong background in AI, machine learning, deep learning, and computer vision.
• Experience with PyTorch, TensorFlow, or similar frameworks.
• Proficiency in Python and research-oriented data processing.

Responsibilities

• Conduct analytical research and data collection in transportation safety focusing on railroad grade crossing safety using advanced LiDAR sensors.
• Assist supervisor in writing scholarly articles and technical reports.
• Possibility to engage in teaching activities to broaden professional development.

Skills

Team player

Technical writing

AI/ML/Computer vision

Python

Education

PhD in Civil & Environmental Engineering, Electrical & Computer Engineering, or Computer Science

Tools

PyTorch

TensorFlow

Job description

The University of Massachusetts Lowell invites applications for a Postdoctoral Research Associate in Engineering. The successful candidate will conduct analytical research and data collection in transportation safety with an emphasis on railroad grade crossing safety using LiDAR sensors, and assist the supervisor with scholarly articles and technical reports.

Initial appointment is for 6 months with a possibility of renewal based on funding and productivity.