Machine learning algorithms for lubrication diagnosis - Bachelor/Master/Internship (m/f/d)
Become part of our innovative team!
HCP Sense is a spin-off of TU Darmstadt and develops innovative sensor technology to monitor the lubrication of roller bearings based on their electrical impedance. Algorithms for the diagnosis of the lubricant condition are the core of the technology. The goal is to further develop these algorithms by examining damage mechanisms that have not been taken into consideration so far.
Main focus
Research on physical and chemical mechanisms of the lubricant film failure
Setting up and carrying out tests
Assessment of experimental data for the diagnosis of lubricant film failure
What we offer
A high degree of responsibility
Interdisciplinary tasks
The opportunity to work and grow in a startup environment
Agile working in a small team
Collaboration on innovative new products
Learning from experienced development engineers
As part of our agile team at HCP Sense, you will have the opportunity to work on exciting tasks and contribute to the development of new technologies. We look forward to your ideas and initiatives in all fields.
If you are interested, please contact us to discuss further details on the measurement concept and the task!