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Further vacancies

You are studying or have completed a degree in the fields of mechanical engineering, computer science, materials science or a similar field of study and want to work on a research project in one of our research topics and gain exciting experience in the process? Even if there is no suitable job offer for you on this page, there are usually further job offers in the following three general subject areas:


Using the software package PACE3D developed at the institute for large-scale, parallel phase field simulations, we conduct research on various topics in the field of materials science. Besides the simulation of processes of phase transformation, microstructure formation and solid mechanics, we are also working on questions in the fields of flow simulation, micromagnetism, electric fields and chemistry. There are constantly open positions for the setup and execution of simulations in the above-mentioned areas.

Artificial Intelligence

Through the further development, application and integration of methods of Artificial Intelligence (AI), we focus our research on issues in materials science and mechanics, but also in other fields such as biology or medicine. The AI models use supervised, unsupervised, reinforcement and active learning and optimisation algorithms and, in addition to experimental data, also use simulation methods to integrate data from physical systems into the models. We are always looking for support for further developing the models and applying the methods to research questions.


The regular development and implementation of new algorithms plays a central role in the further development of the PACE3D software package. The generation of efficient Python and C++ algorithms for high-performance computing and large-scale simulations is essential here.
The management and linking of research data plays an important role in today's research. For this purpose, the open-source platform Kadi4Mat is being developed at the IAM-MMS, which combines a workflow engine (electronic lab book 2.0) with a database. For the use of Kadi4Mat in various research areas, new workflow nodes such as wrapper nodes for the integration of software tools are regularly developed and written in Python, or new database functionalities are implemented using C++.
In both software projects there are regular tasks for motivated programmers.

If we have awoken your interest in working in the three aforementioned research areas, we look forward to your first contact via e-mail with Prof. Nestler.