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source

Ricardo Vinuesa

1 month ago

Postdoctoral Researcher and Summer Graduate Researcher/PhD Path in Aerospace Engineering, AI for Flow Control and Scientific Discovery University of Michigan in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Michigan

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Keywords

Computer Science
Mechanical Engineering
Aerospace Engineering
Artificial Intelligence
Reinforcement Learning
Optimisation
Robotics

About this position

VinuesaLab at the University of Michigan is advertising open research positions in Aerospace Engineering at the intersection of AI for science, flow control, deep reinforcement learning, foundation models, agentic AI, and optimization.

The post specifically mentions openings for postdoctoral researchers and summer graduate researchers with the plan to transition into PhD positions. The lab describes its work as advancing aerospace innovation through multidisciplinary research in an international environment.

Research themes highlighted in the post include flow control through deep reinforcement learning and foundation models and agentic AI for optimization and scientific discovery. This suggests a strong fit for candidates with backgrounds or interests in aerospace engineering, computational methods, machine learning, and scientific computing.

No funding package, stipend amount, tuition coverage, or deadline is stated in the post. The opportunity appears to be a direct lab recruitment call rather than a formal scholarship announcement.

To apply, interested candidates should email the poster with the subject line [Join VinuesaLab] or send a direct message. The post does not provide a separate application portal.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

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