Use our form
If you would like to apply for this position, please use the contact form on this page.
Please include a brief message with the nature of your request and we'll be in touch soon.
Duration: min. 6 months
With our headquarters in Dresden, we are strategically located in the largest center of microelectronic industries in Europe. As the capital of the German state of Saxony, Dresden is at the heart of “Silicon Saxony”, a term used to describe the region and its hundreds of microelectronics businesses.
Maintaining strong, collaborative relationships with local manufacturing companies and world-renowned universities (e.g. TU Dresden and HTW), Dresden is also the center of our R&D activities.
In addition to its high density of outstanding research institutions, Dresden is also well known for its history, beautiful baroque architecture, and broad collection of fine arts.
}', 21='{type=list, value=[{id=31544187646, name='MScha'}]}', 22='{type=number, value=1}', 24='{type=string, value=Unser Hauptsitz befindet sich in Dresden, der Hauptstadt des deutschen Bundeslandes Sachsen. Dresden ist das Herzstück von „Silicon Saxony“, Sachsens größtem Hightechnetzwerk und Europas größtem Mikroelektronikstandort.
Wir pflegen enge Kooperationsbeziehungen zu lokalen Fertigungsunternehmen und zu weltweit anerkannten Universitäten der Region (z. B. TU Dresden und HTW), wodurch Dresden das Zentrum unserer F&E-Aktivitäten ist.
Neben seiner hohen Dichte an herausragenden Forschungseinrichtungen ist Dresden auch für seine Geschichte, seine wunderschöne Barockarchitektur und seine große Sammlung an bildender Kunst bekannt.
}', 25='{type=string, value=Dresden (Deutschland)}', 26='{type=string, value=Dresden Headquarters}', 27='{type=string, value=Dresden (Deutschland)}', 28='{type=string, value=Germany}', 29='{type=string, value=Manfred-von-Ardenne-Ring 6}', 30='{type=string, value=01099}', 31='{type=string, value=Saxony}'}]Complex production processes are often observed by humans in order to visually detect problems (product shape, color, surface etc.). Automating this by using an industrial image recognition technology gives great benefits in continuity and comparability of results.
Your task is to extend an existing machine demonstrator by a visual quality monitoring solution. You’d select and setup a suitable industrial camera. Next you’d investigate suitable image processing libraries to extract the relevant features from the camera images. Finally, you’d design and implement an application utilizing the image data to monitor the current production quality by counting good and bad parts.
You should have experience with image processing and programming skills in at least one common language (Java, Python, C++ etc.). Machine learning capabilities are helpful as well.
If you would like to apply for this position, please use the contact form on this page.
Please include a brief message with the nature of your request and we'll be in touch soon.