Develops power modules for SiC/GaN electronics using multiphysics modeling, simulation, and AI-driven optimization to accelerate virtual product development and reliability prediction.
Dedicated to advancing power module development through the integration of automated design synthesis based on Multiphysics Modeling &Simulation. Combining deep expertise in power electronics, packaging technologies, thermal management, reliability, and simulation-driven development with cutting-edge optimization and synthesis methods including AI. Focused on creating next-generation development environments where physics-based models and machine learning accelerate the design, optimization, and validation of power modules for SiC and GaN applications.
Required Core Expertise
Power Module expertise with a focus on Multiphysics Modeling & Simulation (Electrical, Thermal, Mechanical).
Virtual Product Development & Digital Twins.
Machine learning & Agentic AI.
Ansys tools or similar.
Other Areas of Expertise include:
Design Space Exploration & Optimization.
SiC and GaN Power Electronics.
Reliability & Lifetime Prediction.
Automation with Python.
Excels in worldwide team environments.
Masters or PhD degree in Electrical Engineering, Physics, Mechanical Engineering, or similar.
Minimum of 3 years of experience in working with modeling & simulation on power modules.
Multiphysics Modeling & Simulation (Electrical, Thermal, Mechanical) of Power Modules.