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Mehdi Hosseinzadeh

4 days ago

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 opening in the Safe and Intelligent Autonomous Systems Lab (SIAS Lab) with Assistant Professor Mehdi Hosseinzadeh.

The position is centered on control theory, optimization, robotics, autonomous systems, and learning-based control. The lab’s broader research includes safety, resilience, and long-term autonomy for autonomous cyber-physical systems, with application areas such as autonomous robots and vehicles, unmanned aerial systems, autonomous energy systems, video streaming platforms, and autonomous drug delivery systems.

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 programming, ROS/ROS2, and experimental robotic systems. The post does not mention a specific funding package, stipend, tuition coverage, or deadline in the text provided.

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

This opportunity is best suited to students interested in research at the intersection of robotics, autonomous systems, control, optimization, and machine learning at Washington State University.

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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