Ziran Wang
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PhD and Postdoctoral Positions in Digital Twin, Autonomous Driving, Robotics, and Human-Autonomy Teaming at Purdue University Purdue University in United States
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
The post announces recruiting for postdoctoral researchers and Ph.D. students at Purdue University, but does not specify stipend, tuition coverage, or whether the positions are fully funded.
Country
United States
University
Purdue University

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About this position
Purdue University College of Engineering is recruiting postdoctoral researchers and Ph.D. students for the Purdue Digital Twin Lab.
The lab’s research spans autonomous driving, robotics, human-autonomy teaming, digital twins, and intelligent transportation systems. Topics include multimodal world foundation models for driving, physical reasoning and action-conditioned planning, world models and vision-language-action models for robotic navigation, human-centered AI that adapts to individual preferences, 3D scene generation and reconstruction, sim-to-real/real-to-sim transfer, mixed reality, and edge/cloud computing for autonomous systems.
Applicants with strong research experience or publications in machine learning, computer vision, robotics, or transportation are encouraged to apply. Ph.D. applicants may apply through the Lyles School of Civil and Construction Engineering or the Elmore Family School of Electrical and Computer Engineering, depending on their background and interests.
To apply, submit your CV and research interests through the linked form. The post notes that only candidates whose qualifications match the positions will receive a response. A lab website is also provided for more information.
This opportunity is located at Purdue University in the United States.
Funding details
The post announces recruiting for postdoctoral researchers and Ph.D. students at Purdue University, but does not specify stipend, tuition coverage, or whether the positions are fully funded.
What's required
Applicants should have strong research experience or publications in machine learning, computer vision, robotics, or transportation. Prospective Ph.D. students should apply through either the Lyles School of Civil and Construction Engineering or the Elmore Family School of Electrical and Computer Engineering, depending on background and research interests.
How to apply
Submit your CV and research interests through the linked application form. Only candidates whose qualifications match the flyer will be contacted.
More information can be found here
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