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.
Topic: "Bayesian Inference and its application in Semiconductor Manufacturing"
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}'}]Product and process complexity in semiconductor manufacturing continues to rise steadily. However, even highly automated fabs like Infineon suffer from adverse and growing variability and losses in production effectiveness. This leads to unscheduled and costly delays in deliveries to customers. One reason is a growing gap regarding adequate information modeling of the manufacturing process – even in highly automated fabs.
Bayesian inference is a method for analyzing and understanding causal relationships. This method has gained a lot of importance in recent years - especially with respect to machine learning. The focus of this work is to explore the applicability of Bayesian inference to problems in semiconductor manufacturing. This is supported and enabled by a new, innovative information model, called the holistic information model (HIM).1 HIM provides, for the first time, all the necessary data structures to directly explore and apply Bayesian inference. This may (but need not) include the use of new machine learning methods. SYSTEMA will provide a complete software framework, including the holistic information model HIM. Sample production data is available.
More information on the current research together with Infineon.
One outcome of the work is a proposal for new methods to improve productivity of production lines and overcome the problems mentioned above. Candidates should have a background and interest in one of the following areas: Computer Science, Mathematics or Operations Research.
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.