Measuring bearing loads.
Monitoring lubrication.
Preventing damages.

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
Eine Nahaufnahme auf der ein HCP Sense Experte einem Lager, insbesondere ein Wälzlager, in der Hand hält und der andere Experte Formeln auf einer weißen Tafel aufschreibt
Ein Photo, auf dem zwei HCP Sense Mitgründer die Ergebnisse der Analyse der Lagerkräfte, die auf einem Rechner dargestellt sind, besprechen

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!

Ein Photo von HCP Sense Mitgründer Georg Martin

Contact

Dr.-Ing. Georg Martin

martin@hcp-sense.com

+ 49 176 10606077