Bachelor/Master Thesis: Machine Learning Based Predictive Maintenance Intern

Job Description

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.

Tasks

• Review the documentation and results of the predecessor thesis
• Evaluate the existing predictive maintenance concept
• Further develop the existing approach and/or generate new ideas
• Rapidly prototype potential approaches
• Compare and assess the different ideas
• Propose an implementable solution

Qualifications

• You are an enrolled student in the field of Engineering, Medical Technology or Computer Science seeking a student project or a Bachelor’s or Master’s thesis.
• You are available for a project lasting 6 to 12 months during 2026 or 2027.
• You are willing to work closely with R&D specialists in mechanics, electronics, and software.
• You are curious, like to take ownership and responsibility and can communicate in English or German.

Additional Information

Your workplace is in Teterow, Mecklenburg-Vorpommern.

What we offer 

• Diversity: International teams and cross-border intercultural communication  
• Room for creativity: It’s the most clever solution that we always strive for 
• Health & Sport: We offer a wide range of corporate sports activities and health provision 
• Miltenyi University: A clever mind never stops learning, take advantage of our in-house Training Academy 

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.