Machine Learning PhD Jobs

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.

• 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

• 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
• 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