Distributed Embodied AI Systems - Intern

Description du poste:

Job Description

As the Distributed Embodied AI Systems intern, you will perform research on future prediction for latency mitigation in distributed embodied AI systems.
A few of your responsibilities will include:
* Research existing approaches to future prediction for the purposes of latency mitigation.
* Test ideas that fit our use-case of offloading perception and planning to the cloud. In particular, the evaluated approach needs to handle short but variable latencies, error in latency prediction, and packet drops.
* Report experimental results and prepare a draft to a high-quality conference

Profil requis du candidat:

Qualifications

Basic Qualifications
* Ph.D. student in Computer Science, Robotics or related fields (Must be a current student)
* Experience training and using deep neural network models.
* Experience in cloud, networking, or computer systems.
* Solid Python skills and proficient with libraries such as MMCV and PyTorch.
* Minimum GPA of 3.0
Preferred Qualifications
* Publication record in top venues including CVPR, ICCV, ECCV, ICRA and IROS
* Focus on future prediction for video or point clouds.
* Focus on various application-level strategies for latency mitigation.
* Extensive skill running experiments in network simulations, CARLA, and real setups.
* Able to work independently, has strong research and problem-solving skills
* Good communication and teamwork skills