Smart Mobility AI Researcher - Civil, Environmental, and Construction Engineering

Are you passionate about the future of transportation? Eager to dive deep into cutting-edge technology and make tangible contributions? If so, we have an exciting opportunity for you!

**What will you do?**

– Dive headfirst into the field of Lidar perception (with camera fusion), an emerging technology that can transform smart mobility.
– Assist in crafting and testing advanced algorithms that detect pedestrians and vehicles and predict potential collisions.
– Harness the power of deep learning and AI to improve the safety and efficiency of transportation systems.
– Collaborate closely with a dedicated PhD student to refine and implement your innovations.

**Why join us?**

– Gain hands-on experience with state-of-the-art technology that can shape the future of transportation.
– Be a part of a meaningful project sponsored by FDOT – with the potential to save countless lives.
– Be part of a dynamic lab environment where learning and innovation go hand-in-hand.
– See your work in action: Your contributions will have a direct impact on improving smart mobility solutions and will be implemented in the field.

Learn more:

The position may be extended (based on performance).

Project Dates

Start Date: 1/8/2024 - End Date: 12/9/2024

Students Needed

Type of Project

Individual or team

Student Responsibilities

Time Commitment

10 hour(s)

Student Requirements

Qualifications: Pursuing an undergraduate degree in Computer Science, Electrical Engineering, or a related field. Strong interest in Lidar technology, AI, and deep learning. (with basic courses already completed) Collaborative spirit and a keenness to work within a diverse team. Problem-solving mindset and a passion for innovation.

Interested in Working With the Following Programs

Honors Undergraduate Thesis

Additional Notes

Position Overview

  • Date Posted: 09-26-2023
  • Research Categories:
    • Computer Science
    • Engineering
  • Location:
    • Orlando (Main Campus)
  • Paid: Maybe