Master thesis (m/f/d)– Machine learning models for bearing monitoring!
Are you a student with a passion for data science and machine learning? HCP Sense is looking for a highly motivated and qualified student to join our team as a Data Science working student. Our company is revolutionising load and lubrication condition monitoring of rolling bearings, and we need someone to support us in the development and implementation of machine learning algorithms. As a Master’s student (m/f/d) you will be directly involved in our product, hence you can gain valuable insights into a young start-up.
Your tasks
- Carry out a complete machine learning project from data acquisition to validation.
- Your project extends the functionality of our product by a crucial component. You don’t work on a small optimisation of a function, but develop something new from scratch.
Your profile
- Bachelor’s or Master’s student in mechanical engineering, mechatronics or a related field
- Good knowledge of programming languages such as Python, R or other data analysis tools.
- Basic knowledge of machine learning models and libraries such as TensorFlow, Keras or PyTorch.
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
Close supervision by our experienced researchers (who are also the company founders)
Your daily work will be multidisciplinary and never boring. Don’t hesitate to contact us if we have aroused your interest!
We look forward to your ideas and initiatives in all fields.
Contact
Dr.-Ing. Georg Martin
martin@hcp-sense.com
+ 49 176 10606077