Bachelor/Master thesis: Machine Learning Based Predictive Maintenance (m|f|d)

For more than 35 years, we have been developing cutting-edge science and technology to empower biomedical research and personalized medicine. We combine excellence from more than 60 disciplines in natural sciences, engineering, and informatics to make a significant contribution to biomedical sciences. We encourage a creative working environment driven by pioneering spirit – to seek new horizons – boldly envisioning the future and turning it into reality. Today, more than 5,000 experts from over 75 countries contribute to our sustainable success.

Project background

A predecessor thesis developed an LSTM-based model for predicting chamber temperatures. Deviations between predicted temperatures and actual sensor values could provide a basis for predictive maintenance, for example by indicating defective disposables. The existing idea, architecture, and documented behavior will be evaluated and further developed.

Additional Information

Your workplace is in Teterow, Mecklenburg-Vorpommern.

Diversity is the bedrock of our creativity.

Our mission: To innovate treatments and technologies and tackle the world’s most serious health challenges. And that’s why we connect the dots –across various disciplines, linking different perspectives, skills, and abilities.

You and your talent are welcome here in our inclusive and collaborative environment. So come as you are. Regardless of gender, sexual identity, age, ethnicity, religion, or disability.

Become part of our team and focus on pushing the borders of medicine.

Contact us

If you have the skills and qualifications for this position, please use the link to send us your details (application letter, curriculum vitae, references, and certificates). Please give us some ideas of when you can start and the kind of salary you are looking for.