Job titel | Bachelor thesis, master thesis, project thesis |
---|---|
Start | By arrangement |
Theme | Industry 4.0, Artificial Intelligence, Automation, Digitalisation, Process monitoring |
Project | Modification free torsion and torque measurement (Modimo) |
Application | Deine aussagekräftige Bewerbung enthält Anschreiben, Lebenslauf sowie Prüfungsleistungen des Studiums / Zeugnisse. Bitte sende die Unterlagen in einer einzigen PDF-Datei an jobs@iph-hannover.de |
Within the research project Modimo, methods for contactless torque measurement are being explored. The project aims to develop a technique that does not require modifications to the shaft surface. Instead, existing patterns on the shaft are utilized by identifying, characterizing, and locating them. This approach not only provides precise and reliable measurements but also facilitates integration into existing systems.
Your tasks
As part of a student research project (Bachelor's, undergraduate, or Master's thesis), an algorithm for the automatic detection and characterization of patterns on shaft surfaces should be developed and implemented. This can involve methods from classical image processing as well as machine learning. The scope of the work will depend on the duration of the project. Possible subtasks for your project may include:
- Recording and preparing image data
- Conducting calibration processes
- Researching and implementing suitable algorithms (CV, ML, etc.)
- Planning and conducting own experiments
- Scientifically evaluating your own results
Your profile
- Enrolled in a technical field of study (Mechanical Engineering, Mechatronics & Robotics, Computer Science, Electrical Engineering, etc.)
- Interest in the topics of image processing and machine learning
- Programming skills in Python or C++ (or the motivation to acquire them)
- Willingness to engage scientifically with a research question
We offer
- Independent working
- Flexible working hours
- Well-equipped workstations
- Home office by arrangement
- Experiment execution
- Possibility of long-term collaboration
- Please send your application to jobs@iph-hannover.de