Student (m/w/d) for a thesis on the topic ''Creation of a machine learning-based replacement model for the prediction of ideal tool positions in an industrial furnace''

Digital transformation. Reliability. Peacekeeping. We are also working with Diehl in our five subgroups Metal, Controls, Defence, Aviation and Metering and our over 16,000 employees with high pressure. Discover fascinating technologies and get involved. In a trusted and courageous family enterprise, which is stable and stable – from tradition. For our site Diehl Aviation in Laupheim we are looking for one from 01.10.2025:

You work in the theory of CFD software or Machine learning methods and conducts thermal flow simulations of tools in an industrial furnace for data point generation. In addition, you will use the data point analysis and data processing of CFD results. You will find a study to find suitable machine learning models for the replacement model generation of furnace insulation, and will work with training and evaluation of the selected models. In addition, the optimisation of the production lines in the furnace based on the replacement model is one of your tasks.

You are studying air and space technology, mechanical engineering, energy technology, etc. You have basic characteristics in the field of fluid mechanics and have already gained first practical experience with common software for flow insulation, such as Ansys Fluent. At best, you will bring your programming knowledge to Python. The numerical equation as well as the AI will inspire you and you have great interest in machine learning. Your profile is rounded off by the distinctive features and the joy of interdisciplinary work.

Professional & personal development Family business Canteen Food supplement Employee discount Applications for severely disabled people are treated with the same suitability. If you are interested, please indicate your SB status on a voluntary basis. JOBV1_EN