Kent State University

What you'll study

This doctoral programme combines advanced coursework with sustained original research. Early study typically covers advanced topics in dynamics and control, sensors and actuators, embedded systems, and power and drive technologies. Students then move into specialist modules and directed reading in areas such as robotic kinematics and dynamics, nonlinear and adaptive control, machine perception and computer vision, artificial intelligence for autonomous systems, human–robot interaction, and advanced manufacturing and cyber-physical systems.

Typical components include:

• Core advanced courses: control theory, system identification, robotics modelling and dynamics.
• Electives aligned with research focus: machine learning for robotics, real-time embedded systems, sensor fusion, mechatronic system design, and manufacturing automation.
• Research methods and professional development: experimental design, simulation tools, scientific communication and ethics.
• Qualifying and comprehensive examinations to demonstrate mastery of technical foundations and readiness for dissertation research.
• Original doctoral research culminating in a defended dissertation; many students also complete prototype development, experimental validation and peer-reviewed publications.

Entry requirements

Applicants are normally expected to hold a relevant master’s degree in mechanical engineering, electrical engineering, computer engineering, robotics, mechatronics, or a closely related discipline. Strong applicants with a bachelor’s degree and exceptional research experience may also be considered. Typical application materials include:

• Official academic transcripts demonstrating strong performance at undergraduate and graduate levels.
• A statement of purpose outlining research interests and proposed areas of study.
• Curriculum vitae detailing academic background, research experience and relevant technical skills.
• Letters of recommendation from academic or professional referees who can comment on research potential.
• Evidence of English language proficiency for applicants whose first language is not English.

Admission is competitive and research fit with faculty is a key factor; applicants are encouraged to contact potential supervisors in advance. Specific numeric GPA thresholds, test-score expectations or funding arrangements vary and should be checked with the department.

Career prospects

Graduates of the programme pursue careers across academia, industry and government research. Typical roles include:

• University faculty and research scientist positions conducting independent research and supervising student projects.
• R&D engineer or senior engineer roles in robotics, automation, semiconductor equipment, medical devices and autonomous systems.
• Control systems and embedded systems engineer positions developing real-time control and software for industrial automation.
• Technical leadership and management in advanced manufacturing, automotive (including autonomous vehicles), aerospace and defence contractors.
• Entrepreneurship and technology transfer, spinning out start-ups that commercialise robotic and automation innovations.

Graduates typically have strong prospects where deep expertise in controls, sensing, mechatronic design and algorithm development is required.

Why study at Kent State University

Kent State offers an environment suited to interdisciplinary research in mechatronics and robotics. Students benefit from faculty with expertise across mechanical, electrical and computer engineering who collaborate on applied and foundational problems. The university provides access to prototyping and testing facilities, including machine shops, electronics labs, real-time control and robotics platforms, and specialised sensors and imaging equipment.

The regional industrial ecosystem, including manufacturing and automotive suppliers in the Cleveland–Akron corridor, supports translational research and industry partnerships. Doctoral students can pursue funded research assistantships and teaching assistantships, present work at conferences, and publish in leading journals. The programme emphasises hands-on system development combined with rigorous theoretical foundations, preparing graduates for both academic and high-tech industrial careers.