[Jobs] PhD and Postdoctoral Position in VLMs, Multimodal Learning, Video Understanding | Arizona State University
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Pooyan Fazli
Nov 18, 2025, 2:06:05 AM (3 days ago) Nov 18
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The People and Robots Lab (PeRL) at Arizona State University (ASU) is recruiting highly motivated Ph.D. students (starting Spring or Fall 2026) and a Postdoctoral Researcher (starting Spring 2026).
Our research focuses on vision-language models (VLMs), multimodal learning, video understanding, and robot learning. Students and postdocs will be based in the School of Computing and Augmented Intelligence (SCAI) and may also be affiliated with the Media and Immersive eXperience (MIX) Center and the Center for Human, Artificial Intelligence, and Robot Teaming (CHART) at ASU. Our work is generously supported by NSF, NIH, NASA, PIT-UN, Google, Amazon, Ability Central Foundation, and ASU.
Qualifications (PhD Applicants)
Qualifications (Postdoctoral Applicants)
- Ph.D. in Computer Science, Engineering, or a related field
- Strong research record in multimodal learning, VLMs, video understanding, or robotics
- Demonstrated ability to publish in leading venues
How to Apply (PhD and Postdoc Applicants)
Please submit your application through the following form:
https://forms.gle/6kghKbBf8p36nJ5G9
Arizona State University is one of the world’s leading research universities and is consistently recognized as the top university for innovation and global impact in the United States. Located in metropolitan Phoenix, Arizona, the nation’s fifth largest city, the university champions intellectual and cultural diversity, welcoming students from all fifty states and more than 165 countries, and is recognized as the No. 1 public university in the U.S. for hosting international students.
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Our research focuses on vision-language models (VLMs), multimodal learning, video understanding, and robot learning. Students and postdocs will be based in the School of Computing and Augmented Intelligence (SCAI) and may also be affiliated with the Media and Immersive eXperience (MIX) Center and the Center for Human, Artificial Intelligence, and Robot Teaming (CHART) at ASU. Our work is generously supported by NSF, NIH, NASA, PIT-UN, Google, Amazon, Ability Central Foundation, and ASU.
Qualifications (PhD Applicants)
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Background in machine learning, computer vision, or robotics
- Strong mathematical and programming skills
- Publications in top venues are a plus
Qualifications (Postdoctoral Applicants)
- Ph.D. in Computer Science, Engineering, or a related field
- Strong research record in multimodal learning, VLMs, video understanding, or robotics
- Demonstrated ability to publish in leading venues
How to Apply (PhD and Postdoc Applicants)
Please submit your application through the following form:
https://forms.gle/6kghKbBf8p36nJ5G9
Pooyan Fazli
Assistant Professor
The GAME School
Media and Immersive eXperience (MIX) Center
Arizona State University
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