Student Researcher; Multimodal Interaction and Model - Seed PhD

Position: Student Researcher (Multimodal Interaction and World Model - Seed) - 2027 Start (PhD)
About the team The Seed Multimodal Interaction and World Model team is dedicated to developing models that have human-level multimodal understanding and interaction capabilities. The team is working to advance the exploration and development of multimodal assistant products. Responsibilities - Conduct research on multimodal foundation models and related systems.

- Explore methods to improve model capabilities across modalities, including areas such as vision-language modeling, world modeling, and representation learning.

- Design and prototype algorithms, models, or system components.

- Collaborate with the team to advance research directions.

Minimum Qualifications - Currently pursuing a PhD in computer science, mathematics, engineering, or a related field.

- Strong programming skills and solid foundation in algorithms and data structures, proficient in Python or C/C++.

- Demonstrated research track record with publications in conferences related to multimodal learning, machine learning, or artificial intelligence.

Preferred Qualifications - Experience in multimodal modeling, vision-language modeling, world modeling, simulation, or 3D representations.

Experience with latent space modeling or structured representations is a plus.

- Strong problem-solving ability and experience conducting independent research.

- Ability to collaborate effectively in a research environment.