Internship: Anomaly Detection in Long-Term Tests (m/f/d) 50-100%

At Endress+Hauser, progress happens through collaboration. As a globally leading provider of measuring instruments, our approximately 17,000 employees shape the future in the field of process automation. Whether in innovating and implementing new technologies as a team, collaborating in the development of new devices, or strengthening important relationships with various global industries: Our work is based on building trusting relationships that help everyone succeed. As a family-run company, we look beyond short-term goals and work to create a future-oriented vision for our employees, our customers, and the world in general.

What is the position about?

We are revising our measurement chain for data acquisition and data analysis of long-term tests. This requires familiarizing yourself with the current hardware and software landscape for data acquisition, interfaces of our measuring devices, and enjoying implementing analysis approaches on cloud-based services (Snowflake, Kafka).

What tasks will you take on? 

You will:

• Design suitable hardware for data evaluation.
• Implement cloud-based data processing.
• Research concepts for anomaly detection and implement suitable approaches for our data.

What do we expect from you?
You:

• Are currently studying, or have completed your studies in mechatronics, electrical engineering, or computer science.
• Enjoy data analysis and acquisition as well as electrical engineering.
• Have knowledge of Python, Matlab, or similar programming languages is an advantage.
• Have a quick grasp of new topics.
• Are characterized by careful and independent working methods.
• Are a communicative and open personality.
• Communicate confidently in German and English.
   

What can you expect from us?

• We are a family-run, highly committed company with a sustainable vision.
• We promote lifelong learning with diverse training and development opportunities, internal knowledge transfer, and e-learning.
• We support work-life balance and offer flexible working hours and opportunities for remote work (25%) to help our employees maintain a healthy balance.
• We provide support for sustainable mobility solutions such as public transport to enable easy commuting for our employees.
   

How do you apply?
To apply, please upload your documents on our career page. Applications sent to us by email cannot be considered due to data protection reasons.

Agencies, personnel service providers, or similar companies are kindly asked to refrain from unsolicited submission of profiles and inquiries about possible cooperation. Currently, we do not work with external service providers for this position. All unsolicited applications from service providers will not be considered and will be deleted without further review. We thank you for your understanding.