Target: Development of next-generation simulation and prediction methods for optoelectronic technologies such as LEDs and lasers, combining first-principles……
Project or coursework experience in biomechanical modeling, soft-body simulation, or surgical simulation. Solid understanding of computational modeling methods.…
Validating simulation results against measurement data from real systems. Solid knowledge in engineering analysis (numerical methods), simulation techniques,……
Erfolgreich abgeschlossenes Studium (Bachelor/Master) in Informatik, Softwareentwicklung oder vergleichbar. Zur Verstärkung der Abteilung "Operative Analyse und……
We are looking for a student who is passionate about developing in C++ and/or Python and brings a solid understanding of computer architecture or complex……
Prior projects or coursework in soft-body simulation, surgical simulation, or biomechanical modeling. Solid understanding of geometry processing, mesh data……
Knowledge of simulation techniques, preferably event-driven simulation approaches. Additionally, you explore event-driven simulation methods for the large data……
You will support extensive interaction and data collection in our driving simulation environment. Additionally, you will help transfer AI approaches to the……
Collaborate closely with software engineers and the wider simulation team. Integrate and test flight models within flight simulation environments.…
You will work on building, training, evaluating, and optimizing models that generate high-quality 3D content from images, video, and other inputs—with a focus……
Learn and use mainstream power simulation tools such as PSCAD, ETAP, DIGSILENT, PSS/E; assist in power system simulation modeling, scheme verification, and……
This position is designed to complement that work on the modeling and computational side. Experience with dynamic programming, stochastic processes, numerical……
Interest in developing machine learning methods for modeling molecules and materials. The research covers several directions, ranging from the development of……
Design and training of foundation models and latent surrogate models for problems in plasma physics. Continued development and performance analysis of a……
Familiarity with regulatory expectations for PK/PD modeling and simulation, including tools like Phoenix WinNonlin, NLME, and related validation frameworks.…
Simulation and modeling of complex fluids and materials to predict product or process performance. This job is available in 2 locations Category Research &……
The work is positioned at the intersection of deep learning, neural rendering, generative AI, autonomous-driving simulation, and multimodal sensor modeling.…
Simulation and Modeling: Create, utilize and maintain simulation models to predict and optimize spacecraft behavior and performance under various scenarios.…
These insights will support multiscale modeling efforts in electrochemistry and materials science. Collaborate closely with BlueMat partners in imaging,……
Good understanding of sensor simulation, actuator modeling, and system interfaces. Experience with NVIDIA simulation tools and/or open-source simulation stacks.…
During your thesis you will develop a parametric simulation model. Then take this opportunity, as part of your Master's thesis, to develop a methodology for the……
Minimum 5 years of structural simulation experience. Conduct correlation analysis between simulation and test results. Type of Employment: Full-time.…
PhD Student - Thermomechanical Modeling (d/m/f) - temporary for 3 years
Regensburg
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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