Through my work, I contribute to saving resources and at the same time improving company processes.
Bachelor-/ Master Thesis (m/f/d) AI based pressure indication
These are your tasks:
You will develop a concept for an AI-supported function for evaluating existing measured values with a physical correlation.
You will use the existing measurement system to generate one or more measurement data sets that map the physical relationship.
You analyze the measurement data and prepare it for the use of an AI-based algorithm.
You compare various technical implementation options in terms of their suitability and performance.
You will implement the preferred approach and verify its accuracy using a test data set and document your work.
Who we are looking for:
You are studying electrical engineering, computer science, artificial intelligence and cognitive systems or a comparable degree program.
You have already acquired knowledge in the field of software development and ideally AI-based methods such as machine learning during your studies and are interested in applying these in practice.
You are familiar with the Python programming language and have ideally already gained some experience with common machine learning libraries
You have a good command of German and English
Your profile is rounded off by initiative, enjoyment of software development, creativity in finding solutions and an independent, solution-oriented and structured way of working.
Work location:Ansbach
Job Level:
Thesis
Working mode:Hybrid working
Working time:Full time
Employment contract:6 months
Division:Diehl Metering
Start:01.09.2025
Note: Applicants (m/f/d) with a severe disability will be given preferential treatment if equally qualified. Should you wish to do so, please indicate your SB status in your application on a voluntary basis.
These are your potential benefits
Flexible working hours
Family-owned company
Canteen
Parking space
Achieve what matters, with Diehl.
Diehl Metering GmbH Dana Müller dana.mueller@diehl.com