These are your tasks:
- You will familiarize yourself with the theory of CFD software and machine learning methods and conduct thermal flow simulations of tools in an industrial furnace to generate data points.
- You will also be responsible for carrying out the data point evaluation and data preparation of the CFD results.
- You will conduct a study to find suitable machine learning models for generating replacement models for the furnace simulation and will participate in training and evaluating the selected models.
- Your tasks will also include optimizing the tool positions in the furnace based on the replacement model.
This is what you bring with you:
- You are studying aerospace engineering, mechanical engineering, energy engineering or a similar subject.
- You have basic knowledge of fluid mechanics and have already gained initial practical experience with common flow simulation software such as Ansys Fluent.
- Ideally, you have basic programming knowledge in Python.
- You are passionate about numerical simulation and AI and have a great interest in machine learning.
- Your high level of initiative and enjoyment of interdisciplinary work round off your profile.
- Location: Laupheim
- Entry level:
- Working hours: Full-time
- Employment relationship: 7 months
- Subgroup: Diehl Aviation
- Start: from 01.10.2025
Applications from employees with severe disabilities (m/f/d) will be given priority if they are equally qualified. If you wish, please indicate your disability status in your application โ on a voluntary basis.
These are your possible benefits:
- Professional & personal development
Do whatโs important to you at Diehl.
Diehl Aviation Laupheim GmbH
Daniela Aumann
daniela.aumann@diehl.com