AI-Driven Reduced-Order PM Motor Modeling Intern

Siemens AG; Meylan; Hybrid; EUR 12,000 - 15,000; Full time

Benefits offered by this job

€1,200 monthly stipend

Meal vouchers

Mentorship and training access

Job summary

Siemens Software in Meylan is offering a 6-month Strategic Student Program internship to develop AI models from finite element data for electric motor control. You will join the Simcenter Flux team to train reduced-order models from PM motors and build integrated Amesim models across the drive train.

The role emphasizes ML techniques, FEM-based data, and optimization with HEEDS. The program is hybrid by default, with a monthly stipend of €1,200 plus meal vouchers and mentorship opportunities.

Qualifications

• Pursuing BAC+5 in engineering with focus on electromagnetism, energy, electrical engineering, system simulation or finite elements analysis.
• Demonstrated background in electromagnetic simulation and PM motors.
• Fluent in French and English with ability to collaborate in a team.

Responsibilities

• Create DOEs from PM motor model to create reduced motor model using Park transformations with Simcenter Flux.
• Train an AI model to generate a valid Simcenter Amesim model.
• Create an Amesim model of an electric car from battery, inverter to motor, following a WLTP cycle to define efficiency.
• Create an optimization with HEEDS to identify rotor geometric parameters maximizing efficiency.
• Compare with a traditional loop approach using reduced order models to check efficiency.

Skills

Electromagnetic simulation

Permanent magnet motors

Machine learning

French English bilingual

Education

BAC+5 engineering degree

Tools

Simcenter Flux

Simcenter Amesim

HEEDS

Job description

Siemens Software in Meylan is offering a 6-month Strategic Student Program internship to develop AI models from finite element data for electric motor control. You will join the Simcenter Flux team to train reduced-order models from PM motors and build integrated Amesim models across the drive train.

The role emphasizes ML techniques, FEM-based data, and optimization with HEEDS. The program is hybrid by default, with a monthly stipend of €1,200 plus meal vouchers and mentorship opportunities.