Publisher
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Ke Yuan

3 weeks ago

Fully Funded PhD Position in Robotics, Sensing, and Intelligent Engineering Systems at Mississippi State University Mississippi State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded, covering both tuition and a stipend. Additional benefits include access to modern research facilities, structured mentorship, research training, and support for professional development and publications.

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Country

United States

University

Mississippi State University

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Where to contact

Official Email

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Statistical Analysis
Sensor Technology
Robotics
Machine learning

About this position

The Michael W. Hall School of Mechanical Engineering at Mississippi State University is inviting applications for a fully funded PhD position under the supervision of Dr. Ke Yuan, Assistant Professor. The research will focus on advanced experimental and computational work at the intersection of robotics, sensing, and intelligent engineering systems. Students will engage in hands-on laboratory work, data analysis, and modeling, with opportunities for interdisciplinary collaboration and industry partnerships.

Applicants should hold an MS in Mechanical Engineering or a closely related field. A strong interest in experimental research and system-level problem solving is essential. Preferred qualifications include background or coursework in machine learning, dynamics, controls, or data analysis, as well as experience with MATLAB, Python, or similar computational tools. The ideal candidate is self-motivated, reliable, and eager to develop independent research skills.

The position offers full funding, including tuition and a stipend, access to state-of-the-art research facilities, structured mentorship, and support for professional development and peer-reviewed publications. The research group values interdisciplinary collaboration and provides a supportive environment for growth and innovation in robotics and intelligent systems.

To apply, interested candidates should email Dr. Ke Yuan at [email protected] with a CV, a brief statement of interests and goals, and unofficial transcripts. For more information, visit Dr. Yuan's LinkedIn profile or the university's website.

Funding details

The position is fully funded, covering both tuition and a stipend. Additional benefits include access to modern research facilities, structured mentorship, research training, and support for professional development and publications.

What's required

Applicants must have an MS in Mechanical Engineering or a closely related field. A strong interest in experimental research and system-level problem solving is required. Background or coursework in machine learning, dynamics, controls, or data analysis is a plus. Experience with MATLAB, Python, or similar tools is desirable. Candidates should be self-motivated, reliable, and eager to develop independent research skills.

How to apply

Email Dr. Ke Yuan with your CV, a brief statement of interests and goals, and unofficial transcripts to [email protected].

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