AI-Assisted Drives Intern (Bachelor’s/Master’s Student)

Quick Facts

• Role: Bachelor’s/Master’s thesis internship in AI-assisted drives

• Duration: 6 months

• Start: As soon as possible

• Work style: Hybrid

Description

You will investigate how data-driven approaches can improve the control of electrical drive systems. The role combines controller parameter optimization for frequency inverter–supplied motors with targeted machine learning methods, including measurement data processing, prototypical implementations, and result evaluation for industrial feasibility.

Responsibilities

• Data-driven investigation to improve control of electrical drive systems

• Automate and optimize controller parameterization for frequency inverter–fed motors using machine learning methods

• Improve performance, robustness, and adaptability

• Collect and prepare measurement data; develop suitable modeling and learning approaches

• Implement approaches in prototypes and systematically evaluate results for industrial applicability

Requirements

• Enrolled in a Bachelor’s or Master’s program in Electrical Engineering, Mechatronics, Automation Engineering, Computer Science, or equivalent

• Interest in drive technology, motor control, and/or industrial automation as well as AI methods

• Initial hands-on programming experience (e.g., Python, MATLAB, C/C++)

• Basic understanding of technical systems and enjoyment of experimental work

• Good German and English skills

Benefits

• Competent mentoring and seminars (DriveAcademy)

• Events and opportunities for student exchange

• Top-tier equipment and working conditions

• Contribution to innovative development projects

• Flexible assignment scheduling

• Health and leisure offerings

• Targeted technical and financial support through StudentsWorld