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Washington State University

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PhD Position in Control Theory, Optimization, Robotics, and Learning-Based Control at Washington State University Washington State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Washington State University

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Python Programming
Optimisation
Robotics
Autonomous System
Machine learning

About this position

Washington State University is advertising a PhD position in the Safe and Intelligent Autonomous Systems Laboratory (SIAS Lab) with Prof. Mehdi Hosseinzadeh. The research sits at the intersection of control theory, optimization, robotics, autonomous systems, and learning-based control.

The lab’s broader research agenda focuses on the safety, resilience, and long-term autonomy of autonomous cyber-physical systems. Application areas mentioned on the lab page include autonomous robots and vehicles, unmanned aerial systems, autonomous energy systems, video streaming platforms, and autonomous drug delivery systems. This makes the opening especially relevant for students interested in robotics, electrical engineering, computer science, and mathematically grounded work in optimization and control.

Ideal applicants should have a strong background in one or more of the following: control systems, robotics, optimization, machine learning, learning-based control, Python/MATLAB, ROS/ROS2, and experimental robotic systems. The post does not mention a funding package, stipend, tuition coverage, or deadline.

Applications must be submitted through the Google Form linked in the post. The announcement explicitly states that applications, CVs, or inquiries sent by email will not be considered, so interested candidates should use the form only.

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.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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