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Open Senior Design Projects – Physical AI (PAI) Lab – 2025-2026

 

​Advisor: Dr. Aslan Miriyev

​Below is a list of senior design projects (פרויקט הנדסי) available in the Physical AI Lab for the 2025–2026 academic year.
All projects require a high level of independence and self-motivation. To apply, please email Dr. Aslan Miriyev at miriyev@bgu.ac.il with the subject line: “Senior Design Project in Your Lab.”

Before applying, please:

  • Learn about the lab and its research by browsing the website.

  • Carefully review the specific requirements listed under each project title below.

Your email application should include:

  • The title of the project you are interested in.

  • Your up-to-date CV.

  • A recent transcript (grades list).

​

Project list:

  1. Data-Based Study of Environmental Effects on the Electromechanical Behavior of Soft Ionic Sensors
    (Prior experience with machine learning algorithms is mandatory; a minimum average grade of 87 is required.)

  2. Theoretical and Experimental Investigation of Nonlinear Behavior in Soft Ionic Sensors
    (Prior theoretical knowledge of polymer mechanics is mandatory; a minimum average grade of 87 is required.)

  3. Design, Assembly, and Utilization of a Multi-Method Hybrid 3D Printer
    (Proven hands-on skills in prior projects or jobs are mandatory; a minimum average grade of 85 is required.)

  4. Development of a Method and Setup for the Characterization and Analysis of Plant Signaling
    (Prior knowledge of electrical property characterization methods is mandatory; knowledge of electrical circuitry and microfabrication processes is a strong advantage; interest in working with plants is mandatory; a minimum average grade of 85 is required.)

  5. Design and Fabrication of Soft Ionic Actuators Using 3D Printing and Nanofabrication Techniques
    (Proven hands-on skills in prior projects or jobs are mandatory; a minimum average grade of 87 is required.)

  6. Development of an Electrical Characterization Method and Setup for Soft Ionic Gels
    (Prior knowledge of electrical property characterization methods is mandatory; knowledge of electrical circuitry is a strong advantage; a minimum average grade of 85 is required.)

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