Masterthesis (m/f/d) Technology & Innovation Digitalisation
Are you eager to contribute to the future of tunnel construction and develop cutting-edge digital solutions? We offer you the opportunity to pursue an exciting master's thesis within a dynamic team.
HERRENKNECHT AG is now offering a
Masterthesis (m/f/d) | reference number 760
Technology & Innovation Digitalisation
The early detection of anomalies in time-series data -- e.g., caused by mechanical faults -- is an important aspect to ensure the operational readiness of tunnel boring machines. The systematic acquisition of sensor data, together with the availability of machine learning technologies, has opened new possibilities for developing effective systems for monitoring the status of equipment e.g., hydraulic power units. Consequently, the development of a system for monitoring the health status of tunnel boring machines signifies the traversing research initiative.
Within this field, the master thesis should cover the following points: Explore, examine, and analyze the data of the numerous sensors placed on tunnel boring machines, measuring e.g., the contact force while excavating. With the assistance of tunneling experts, identify a relevant and promising sensor set including anomalies such as engine breakdowns, defective sensors, or corrupted data. Develop a self-supervised online-algorithm to detect anomalies. Conduct performance benchmarks encompassing both quantitative and qualitative results, for instance, an expert blind test or using labeled data. Overall, an industrial deployment and scalability across multiple projects should be taken into consideration.
HERRENKNECHT AG is now offering a
Masterthesis (m/f/d) | reference number 760
Technology & Innovation Digitalisation
The early detection of anomalies in time-series data -- e.g., caused by mechanical faults -- is an important aspect to ensure the operational readiness of tunnel boring machines. The systematic acquisition of sensor data, together with the availability of machine learning technologies, has opened new possibilities for developing effective systems for monitoring the status of equipment e.g., hydraulic power units. Consequently, the development of a system for monitoring the health status of tunnel boring machines signifies the traversing research initiative.
Within this field, the master thesis should cover the following points: Explore, examine, and analyze the data of the numerous sensors placed on tunnel boring machines, measuring e.g., the contact force while excavating. With the assistance of tunneling experts, identify a relevant and promising sensor set including anomalies such as engine breakdowns, defective sensors, or corrupted data. Develop a self-supervised online-algorithm to detect anomalies. Conduct performance benchmarks encompassing both quantitative and qualitative results, for instance, an expert blind test or using labeled data. Overall, an industrial deployment and scalability across multiple projects should be taken into consideration.
YOUR FIELD OF ACTIVITY
- Explore research on algorithms for self-supervised anomaly detection.
- Development of a model for detecting anomalies in time series.
- Assistance with the implementation of the model into a dashboard system.
- Presentation & collaboration within an interdisciplinary team.
YOUR PROFILE
- Undergraduate in the field of computer science, machine learning, artificial intelligence, or similar.
- Advanced skills in programming (Python) and data analysis.
- Team player, self-motivated, and keen interest in a challenging role
- Good German and English language skills, both spoken and written.
WE OFFER
- Exciting and challenging propulsion technology used in global projects
- Comprehensive training and the opportunity for personal and professional development
- Attractive internship compensation
- Flexible working hours
DOES THIS POSITION APPEAL TO YOU?
Then press the button "Apply now!" to submit your application.
The following contact person will be pleased to provide you with further Information:
The following contact person will be pleased to provide you with further Information:
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