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Boris Benedikter

2 months ago

Fully Funded PhD Positions in Trustworthy Aerospace Autonomy at Oklahoma State University–Tulsa Oklahoma State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD positions with a $2,300/month stipend before taxes, 100% tuition waiver, and subsidized graduate-assistant health insurance. Funding is provided through graduate teaching and/or research assistantships.

Deadline

Oct 1, 2026

Country flag

Country

United States

University

Oklahoma State University

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Aerospace Engineering
Mathematics
Reinforcement Learning
Optimal Control
Model Predictive Control
Robotics
Autonomous System
ML

About this position

Spring 2027 PhD openings in trustworthy aerospace autonomy at Oklahoma State University–Tulsa. Boris Benedikter (Assistant Professor of Aerospace Engineering) is recruiting multiple fully funded PhD students to join a new research group in the School of Mechanical and Aerospace Engineering at Oklahoma State University.

The group works at the intersection of optimal control, machine learning, and autonomous aerospace systems. Research themes include optimal and uncertainty-aware guidance and control, trajectory optimization, model predictive control, stochastic optimal control, covariance control, chance-constrained planning, risk-aware guidance, reinforcement-learning-enhanced MPC, physics-informed neural networks, imitation learning, safe learning, transfer/meta-learning, formal verification, runtime assurance, and experimental validation on real hardware.

Planned experimental platforms include autonomous UAVs, indoor motion-capture and outdoor flight testing, hardware-in-the-loop validation, and a spacecraft test platform for studying rendezvous, proximity operations, docking, formation flight, and on-orbit servicing. Students may contribute across theory, algorithms, simulation, hardware, and flight/experimental validation.

The positions are based at OSU-Tulsa in Tulsa, Oklahoma, and are intended for students with strong quantitative and technical preparation. Relevant backgrounds include aerospace engineering, mechanical engineering, electrical/computer engineering, robotics, computer science, applied mathematics, controls, optimization, and related fields. An M.S. is preferred but not required. Strong bachelor’s-level applicants with relevant research or technical experience are also encouraged.

Funding is fully covered through graduate teaching and/or research assistantships, with a $2,300/month stipend before taxes, full tuition waiver, and subsidized graduate-assistant health insurance.

Interested applicants should first submit the interest form with a CV/resumé and short cover letter. If there is a good fit, the professor will arrange an informal research conversation and then help guide the applicant through the formal OSU PhD application. International students should plan ahead for English-proficiency documentation and contact the professor a few weeks before the formal deadline.

Formal OSU application deadline for international students: October 1, 2026. Spring 2027 positions start in January 2027.

Funding details

Fully funded PhD positions with a $2,300/month stipend before taxes, 100% tuition waiver, and subsidized graduate-assistant health insurance. Funding is provided through graduate teaching and/or research assistantships.

What's required

Applicants should be interested in a PhD starting in January 2027 and be curious, mathematically and technically strong, motivated to do research, and able to develop into independent researchers. Relevant preparation may come from aerospace engineering, mechanical engineering, electrical or computer engineering, robotics and autonomous systems, computer science, applied mathematics, controls, optimization, or related quantitative fields. An M.S. degree is preferred but not required; strong bachelor’s-level candidates with relevant research, industry, internship, independent project, or technical experience are encouraged. Useful preparation includes dynamics and control, optimal control and numerical optimization, probability/estimation/stochastic systems, machine learning and reinforcement learning, robotics/autonomous systems, numerical methods/scientific computing, programming in Python/MATLAB/C/C++, and simulation/embedded systems/sensors/experimental hardware. International applicants needing English proficiency should have a valid score by the formal deadline; accepted tests include TOEFL iBT, IELTS Academic, or PTE Academic. GRE is not required.

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Professors

Assistant Professor of Aerospace Engineering

University Name
Country flag

United States

Research Interests

Aerodynamics

Aerospace Engineering

Path Planning

Orbital Mechanics

Autonomous Navigation