The group of Priv.-Doz. Dr. Thomas Hammerschmidt in the Department for Atomistic Modelling and Simulation (Prof. Dr. Ralf Drautz) of the Interdisciplinary Centre for Advanced Materials Simulation (ICAMS) is looking for a
PostDoc researcher (m,f,x) in atomistic simulation of SiC growth with machine-learning interatomic potentials, for 3 years, 39,83 hours per week, TVL E13
ICAMS focuses on the development and application of a new generation of simulation tools for multi-scale materials modelling with the aim of reducing development cost and time for new materials. The different length scales from the atomic structure to macroscopic properties of materials are bridged by an interdisciplinary team of scientists from engineering, materials science, chemistry, physics and mathematics.
The climate crisis fuels the need for the widespread generation of renewable energy and the electrification of mobility. This requires optimized materials for power electronics to handle the distribution of electrical power between supply, storage and consumption. One of the most suitable materials for precise control and high efficiency of switching electrical power is the IV-IV semiconductor silicon-carbide (SiC). The goal of this project is to understand the atomistic processes during physical vapor transport (PVT) growth of SiC in order to optimize the fabrication of SiC for power-electronic devices. To this end we will perform large-scale atomistic simulations of SiC growth with a machine-learning interatomic potential (atomic-cluster expansion). This includes also high-throughput density-functional theory calculations and the development of the atomic-cluster expansions for the Si-C system. The project is funded by the German Research Foundation DFG.
| extent: | full-time |
| duration: | temporary |
| beginning: | as soon as possible |
| application deadline: | 27.01.2025 |
Your tasks:
Your tasks:
- High-throughput density-functional theory calculations for Si-C
- Development of atomic-cluster expansion for the Si-C system
- Large-scale atomistic simulations of Si-C growth
- Close collaboration with partners in industry and academia
Your profile:
- We expect a very good PhD degree in physics, chemistry, materials science or related disciplines with strong background in software development, atomistic simulation and machine learning
Our offerings:
- Challenging and varied tasks with a high level of personal responsibility
- Team-oriented cooperation in a committed, international and appreciative team
- an open working atmosphere
- Options for flexible working
- a job in the heart of the lively Ruhr metropolitan region with its diverse cultural offerings
Additional information:
At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. https://www.wpr.ruhr-uni-bochum.de/
If the position is funded by third-party funds the employee has no teaching obligation.
German language courses are offered by the University Language Center (ZFA) in the field of German as a Foreign Language (DaF).
https://www.daf.ruhr-uni-bochum.de/sbgk/index.html.en
You can find information about TVL at: https://oeffentlicher-dienst.info/
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact details for your application:
Thomas Hammerschmidt, Phone: +49234 32 29375
Travel expenses for interviews cannot be refunded.
For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.
We are looking forward to receiving your application with the specification ANR: 4110 until 27.01.2025, send by e-mail to the following address: thomas.hammerschmidt@rub.de
Please get in touch with the contact person named above if you would like to use an alternative application channel.
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