Publisher
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University of Tulsa

Fully Funded M.S. and Ph.D. Opportunities in Control Systems, Optimization, and Robotics at the University of Tulsa University of Tulsa in United States

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Tulsa

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Aerospace Engineering
Mathematics
Transport
Fault Diagnosis
Dynamical Systems
Autonomy
State Estimation
Optimisation
Robotics
Statistics
Control System
Cyber-physical System
Multi-agent System
Machine learning

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About this position

Fully funded M.S. and Ph.D. opportunities are available at the University of Tulsa for students interested in control systems, dynamical systems, optimization, machine learning for control, robust and resilient control, state estimation, fault diagnosis, safe learning and autonomy, multi-agent systems, cyber-physical systems, and applications in robotics, transportation, and aerospace.

The post says the group expects fully funded Research/Teaching Assistantships for qualified candidates. It is aimed at highly motivated students with backgrounds in control systems, dynamical systems, optimization, machine learning, or related areas.

Preferred technical skills include MATLAB, Python, and C/C++. Interested applicants should prepare a CV, transcripts, and a short description of their research interests.

To apply, email the materials to mок7673@utulsa.edu. No deadline is mentioned in the post.

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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