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Amit Ojha

Assistant Professor

University of Kansas

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United States

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Research Interests

Artificial Intelligence

10%

Human-robot Interaction

10%

Mechanical Engineering

10%

Civil Engineering

10%

Electrical Engineering

10%

Machine Learning

10%

Digital Twin Technology

10%

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Positions1

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Amit Ojha

University Name
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University of Kansas

PhD Positions in Robotics, AI/ML, Immersive Technologies, and Human–Robot Interaction at the University of Kansas

The University of Kansas School of Engineering is advertising Doctoral Research Fellow / PhD student positions for Fall 2026 or Spring 2027 in the research group of Amit Ojha , who will join KU as a tenure-track Assistant Professor in the Department of Civil, Environmental & Architectural Engineering. The research direction is centered on robotics , artificial intelligence / machine learning , immersive technologies , and human–robot interaction , with a strong application focus on construction safety , workers’ performance, site monitoring, AI-driven safety analytics, risk assessment, virtual reality, and digital twin systems for training and decision support. Applicants with backgrounds in Civil Engineering , Mechanical Engineering , Electrical Engineering , Computer Science , Construction Engineering and Management , or closely related fields are encouraged to apply. The post highlights candidates who are motivated to work in an interdisciplinary environment, have interest in AI/ML theory and applications, and bring experience with robot control, path planning, human-robot interaction, quantitative problem solving, and programming tools such as Python, MATLAB, ROS, or robot simulation software. This is a research-group opening rather than a scholarship announcement. The post does not specify stipend amount, tuition coverage, or other funding terms, but it clearly indicates active recruitment for PhD students in a new lab/group at KU. To apply, interested candidates should complete the Google Form linked in the post. The professor states that he will contact candidates whose profiles are a strong fit. Application window: Fall 2026 or Spring 2027 intake.