3+ top-tier ai/robotics conference publications as first author
Expertise in deep learning and multimodal llms
The role involves leading advancements in multimodal large language models and embodied AI within the School of Mechanical & Aerospace Engineering
Job Summary
The role involves leading advancements in multimodal large language models and embodied AI within the School of Mechanical & Aerospace Engineering.
Candidates will design and implement Vision-Language-Action models to enable seamless human-robot interaction and autonomous task execution.
The successful candidate is expected to publish high-quality research in top-tier conferences and journals while collaborating with a multidisciplinary team.
Matching Summary
Match Score: 85
The role involves leading advancements in multimodal large language models and embodied AI within the School of Mechanical & Aerospace Engineering.
Skills & Requirements
Must-have
Ph.D. in Computer Science or related field
3+ top-tier AI/Robotics conference publications as first author
Expertise in deep learning and multimodal LLMs
Strong Python programming skills with PyTorch
Hands-on experience with robotic arms
Nice-to-have
Familiarity with human-robot interaction
Experience with reinforcement learning
Multidisciplinary team collaboration
Key Requirements
Ph.D. degree required
Minimum 3 first-author publications in top-tier venues