Vision-Language AI Research Fellow for Drones

Singapore University of Technology and Design; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Singapore University of Technology and Design seeks a Research Fellow for a two-year project on Vision-Language Models and efficient AI for drones. The role focuses on VLMs, multimodal learning for aerial imagery, compact models for edge deployment, and drone applications such as scene understanding, navigation, and inspection.

The candidate should have a PhD in a related field, a strong publication record, and hands-on experience with Python and PyTorch.

Qualifications

• PhD in CS, AI, EE, robotics or closely related field.
• Strong publication record, with first-author papers at top AI/ML/CV conferences or journals.
• Experience in VLMs, multimodal foundation models, CV, or related DL methods.
• Understanding of efficient model design, compression, and edge deployment.
• Proficiency in Python and PyTorch; hands-on model development and evaluation.
• Ability to conduct independent research and publish high-quality work.
• Experience with NVIDIA Jetson, TensorRT, ONNX, CUDA, ROS/ROS2, or UAV platforms is advantageous.

Responsibilities

• Conduct research on Vision-Language Models and multimodal learning for drones.
• Develop and evaluate efficient models for edge deployment and UAV platforms.
• Publish high-quality papers and contribute to open-source code or systems.

Skills

Python

PyTorch

VLMs

Multimodal learning

Edge deployment

Model compression

Independent research

Education

PhD in CS/AI/EE/Robotics

Tools

NVIDIA Jetson

TensorRT

ONNX

CUDA

ROS/ROS2

UAV platforms

Job description

Singapore University of Technology and Design seeks a Research Fellow for a two-year project on Vision-Language Models and efficient AI for drones. The role focuses on VLMs, multimodal learning for aerial imagery, compact models for edge deployment, and drone applications such as scene understanding, navigation, and inspection.

The candidate should have a PhD in a related field, a strong publication record, and hands-on experience with Python and PyTorch.