Master Thesis Intern Machine Learning - (m/f/x - 100%)
Reference Code: 56445
Schaffhausen, SH, CH
Our strength lies not in our similarities but in revealing the exceptional diversity of our cultures and colleagues. We leverage the advantage of being a global company with an international workforce. We employ the best experts who we trust to make informed decisions, who dare to implement their ideas and who take ownership of their actions. No matter where you are from, what you believe in, what age you are, who you love, or if you are disabled: In the end, together we always make it happen!
To support our Production Components team, we are looking for a
MASTER THESIS INTERN - MACHINE LEARNING (M/F/X -100%)
You will work in close cooperation with different teams and have the opportunity to gain experience in different technical industrial aspects, as well as on project management and coordination. The key essence of this internship is working inside a top international company from the watchmaking industry and using the theory knowledge you have acquired at the university for an exciting and novel practical real-life application.
Start: 01.04.2022 or to be discussed
Duration: 6 months
Nowadays the development of machine learning finds application in various fields. In the domain of optical character recognition (OCR) it allows to differentiate between characters in several lighting conditions and with different background properties. The goal of this project is to develop a system to recognize and read serial numbers from case parts during the assembly process, to reduce the manual workload as well as eliminate a possible error source (the human component). The goal is to have a device which can read the serial numbers efficiently in different lighting situations, orientations, as well as off different materials and surface properties, independent of the watch reference. The developed system should integrate in the existing software landscape to register the newly produced serial numbers in the system.
- Ongoing master’s degree at a university revolving around the topic of machine learning and/or OCR
- Written and spoken fluency of the English language are required, German skills are an advantage
IWC offers a challenging working environment: the company’s roots are in Switzerland, but it is a successful international player. We maintain our tradition, yet we are always on the lookout for innovations and ways to improve. Change management, education, further training, and personal development are therefore of key importance for our long-term success.