The combination of image processing techniques with machine learning methods provides powerful tools for automated image classification. In production, different images are captured at different stages of production, providing an insight into the quality of the processes. Although a high level of automation has already been achieved, there are still challenges and manual interaction is still required on a day-to-day basis. These arise, for example, from the resolution of images or a variety of recording options, where adjustments to the tool or the corresponding selection of different analysis methods are necessary. In particular, we need to develop a process or method for the automated classification of defects from defect density images generated during production. In order to successfully apply these methods, not only a large amount of data is required, but also data pre-processing to ensure high data quality. In most machine learning projects, data acquisition and pre-processing is laborious and requires up to 80% of project resources. However, this is an important pre-processing step to successfully apply machine learning techniques. That's why we need your support.
In your new role you will:
Durtion: part time
You are best equipped for this task if you:
This position is subject to the collective agreement for workers and employees in the electrical and electronics industry. Master students receive a compensation of 2.210,-- Euro gross p.m. (full-time basis).
Please attach the following documents to your application:
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We make life easier, safer and greener - with technology that achieves more, consumes less and is accessible to everyone. Microelectronics from Infineon is the key to a better future. Efficient use of energy, environmentally-friendly mobility and security in a connected world - we solve some of the most critical challenges that our society faces while taking a conscientious approach to the use of natural resources.
*The term gender in the sense of the General Equal Treatment Act (GETA) or other national legislation refers to the biological assignment to a gender group. At Infineon we are proud to embrace (gender) diversity, including female, male and diverse.
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