Research Fellow
1 week ago
For more details, please view https://www.ntu.edu.sg/mae/research.
PositionOverview
We are seeking a highly motivatedPostdoctoral Research Fellow to join our research team focusing onintegrating multimodal large language models (LLMs) with embodiedAI. This position will involve the development and deployment ofVision-Language-Action models for real-world robotic applications,such as autonomous task execution and human-robot interaction. Thesuccessful candidate will work on cutting-edge research at theintersection of AI, robotics, and multimodallearning.
KeyResponsibilities
- Design andimplement multimodal LLM architectures that integrate vision,language, and action for embodied AIsystems.
- Develop and optimize deep learningalgorithms to enable robotic arms to perform complex tasks guidedby natural language instructions.
- UtilizePyTorch to train and fine-tune models on multimodaldatasets.
- Experiment with and deployvision-language-action models on roboticplatforms.
- Collaborate with a multidisciplinaryteam to advance the field of embodiedintelligence.
- Publish high-quality research intop-tier conferences andjournals.
- Ph.D.in Computer Science, Robotics, AI, or a relatedfield.
- Expertise in deep learning, multimodalLLMs, and Vision-Language-Action models.
- Strongprogramming skills in Python, with significant experience inPyTorch.
- Hands-on experience with roboticsystems, particularly robotic arms.
- Familiaritywith human-robot interaction and reinforcement learning is aplus.
- Demonstrated ability to conductindependent research and contribute to collaborativeprojects.
Hiring Institution: NTU
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