Final thesis on the topic "Creation of a machine learning-based replacement model for predicting ideal tool positions in an industrial furnace"

Full time Machine Learning Artificial Intelligence Software Engineering Data Warehouse

Job Description

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:
    • thesis
  • 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
    • Family business
    • canteen
    • Food allowance
  • Employee discounts

Do whatโ€™s important to you at Diehl.

Diehl Aviation Laupheim GmbH
Daniela Aumann
daniela.aumann@diehl.com