Master-thesis »machine Learning Applied to The Pvt

Vor 7 Tagen

Erlangen, Deutschland Integrated Systems and Device Technology Vollzeit

In the Department »Materials« at Fraunhofer IISB we are particularly concerned with the growth of bulk crystals and epitaxial layers. An important role in understanding these processes is played by the simulation of the heat and mass transport processes that take place during crystal growth. Recently, machine learning techniques have also been used to accelerate the calculations and are bringing the simulations together with the experiments to gain a deeper understanding of the crystal growth process.

You want to turn your expertise into useful and meaningful research and complete your master's thesis at a leading research company? Then we have an interesting offer for you

**What you will do**

**You...**
- gain experience in using machine learning techniques
- use results from ANSYS software to train a so-called surrogate model of the PVT process
- develop an understanding of how these models work
- use the model to answer questions about the influence of geometry and temperature profile on the growth rate of the crystal use the model to make predictions about the thermal stresses in the crystal**What you bring to the table**

**You...**
- study mathematics, computational engineering, physics, process engineering, chemistry, materials science or a comparable field of study
- you enjoy numerical simulation and the scope of simulation programs
- are experienced in performing simulation calculations
- have experience with machine learning techniques
- you could already acquire background knowledge in the field of semiconductor materials - but this is not a prerequisite are interested in a practice-oriented thesis, which gives you an insight into the work of a research institute**What you can expect**

**You...**
- become part of an interdisciplinary and committed team
- experience practical relevance through project work
- get a great insight into exciting research projects
- you will receive excellent support from the scientific staff

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

We will be happy to answer any technical questions you may have about this position:
Dr. Markus Zenk
Telefon +49 9131 761-260

Nadja Ingarsia
Telefon +49 9131 761-251

Fraunhofer Institute for Integrated Systems and Device Technology IISB

Requisition Number: 69752

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