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The Computational Robotics and Mechatronics (CRM) Lab at Texas Tech University is seeking multiple PhD students to join ongoing research in small-scale magnetic soft robots. Our research is currently supported by two active National Science Foundation (NSF) projects:

1. Modular magneto-dynamic mechanism for small-scale soft robots

2. Self-regulating artificial cilia arrays for fluid and particle manipulation

Required Qualifications and Skills:

• Degree in Mechanical Engineering, Electrical and Computer Engineering, Robotics, or a related field. (MS preferred; outstanding BS students considered).

• Background in at least one of: electromagnetics, solid mechanics, robotics, machine learning, and engineering design.

• Preferred: experience with computational modeling (e.g., COMSOL, ANSYS, ABAQUS) and programming (Python, MATLAB, C++).

• Strong writing and communication skills and demonstrated research potential.

About Dr. Xiaolong Liu:

Dr. Liu is an Assistant Professor of Mechanical Engineering at Texas Tech University. He received his Ph.D. in Biomedical

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Job ID: 262377

Professor of Practice – Packaging Systems
Auburn University

Position Overview:

The College of Forestry, Wildlife and Environment (CFWE) at Auburn University invites applications for a Professor of Practice in Packaging Systems. This non-tenure-track position is designed for an experienced professional with a background in the fundamentals of packaging design, packaging production, packaging for distribution, packaging product development, or related fields. The successful candidate will bring real-world expertise into the classroom, preparing students for careers in the packaging industry.

Auburn University’s Packaging Systems degree is one of the only programs of its kind offered in the Southeastern United States, providing a unique opportunity to mentor and educate future leaders in this growing field. The program blends packaging materials, design, manufacturing, renewable, and business principles to equip students with the skills

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RITEL projects should advance learning research regarding knowledge about principles, processes and mechanisms of teaching and/or learning in the context of a technology-based innovation. This could include research by learning scientists, education researchers, educational psychologists, and cognitive, behavioral and/or social scientists. For teaching, this could include new teaching processes and approaches (e.g., andragogy and pedagogy), relevant to how the proposed technology will be situated in an educational setting.

This research must lead to generalizable knowledge about learning that is beyond a specific system, application or intervention.

Projects that focus on evaluating the effectiveness of a technology-based system or a curriculum/teaching intervention are not in scope for RITEL. Please also see Q7 “What does RITEL not fund?”

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