Sense the power of light
The ams OSRAM Group is a global leader in innovative light and sensor solutions. With more than 110 years of industry experience, we combine engineering excellence and global manufacturing with a passion for cutting-edge innovation enabling transformative advancements in the automotive, industrial, medical, and consumer industries. “Sense the power of light” – our success is based on the deep understanding of the potential of light and distinct portfolio of emitter and sensor technologies. Around 19,700 employees worldwide drive innovations alongside societal megatrends. Find out more about us on
The ams OSRAM Opto Semiconductors business offers high-performance opto semiconductor components and in-depth support for state-of-the-art system solutions based on innovative semiconductor light sources. The Business Unit can look back on almost fifty years of production and development expertise.
Your new responsibilities
* thesis: Thermomechanical Modeling, Simulation & Machine Learning for Semiconductor Development
* target: Development of next-generation simulation and prediction methods for optoelectronic technologies such as LEDs and lasers, combining first-principles modeling with data-driven approaches.
* Investigating research questions relating to the thermomechanical modelling of semiconductor manufacturing processes, with a focus on optoelectronic technologies
* Analysing wafer processes throughout the manufacturing chain and developing models to predict wafer deformations, including wafer bow
* Combining physics-based simulation with machine learning to develop powerful predictive approaches
* Working closely with interdisciplinary teams from simulation, experimentation and development
What we look for
* Successfully completed Master’s degree in thermomechanics, mechanical engineering, materials science, physics or a related field
* Interest in simulation, physical modelling and challenging technical problems
* Programming skills in Python, Fortran or a similar language, as well as an interest in machine learning
* An independent, structured approach to work and excellent English language skills
* Experience with semiconductor technologies, FEM tools or machine learning frameworks is an advantage; strong applications from related disciplines are also welcome
Please contact Stefanie Kleierl for further information via STEFANIE.KLEIERL@AMS-OSRAM.COM or +49 (941) 8501391.