Baunatal Thesis AI Based Test Case Generation (fmd) 34225

Work environment

Possible tasks within this role

• Developing an AI-based method for generating hardware test cases
• Automating the execution of test specifications for printed circuit board assemblies (PCBA testing)
• Analyzing and deriving executable test sequences from requirements and circuit data
• Supporting series development in compliance with Automotive SPICE and ISO 26262
• Assisting in the planning, execution, and documentation of hardware tests

Qualification requirements

• Enrolled Students (also in a Gap Year) in Electrical Engineering, Technical Computer Science, or similar fields
• Good to very good academic performance
• Knowledge in power electronics / pulse inverters for electric drives, hardware development, or similar areas is desirable
• Knowledge of MATLAB, PLECS, LTSpice, VBA, and Microsoft Office is preferred
• German and English language level B2
• Valid driver’s license (Class B) required

The following documents must be submitted with your application

• Curriculum Vitae
• Current certificate of enrollment
• Current academic transcript
• Work permit for non-EU citizens
• In case of a compulsory internship, a certificate from the university

Keywords

Machine Learning Engineering, Test Case Generation, Embedded Systems Testing, AI in Engineering, Model-based Development, Automation Engineering, Hardware Verification, Smart Testing, Data-driven Testing, Digital Validation