#24-13Artificial Intelligence in Advanced Semiconductor Technology
Addressed topics: Artificial Intelligence, Others
Student Assistance Master-Thesis
Are you passionate about cutting-edge research at the intersection of semiconductor technology and artificial intelligence? Join us as a student in our team for artificial intelligence and data based methods at the Fraunhofer Institute of Electronic Nanosystems (ENAS). We're on a mission to create digital twins for highly complex semiconductor manufacturing processes - enabling process optimization and model-based control. As the industry moves towards more individualized processes and products, a significant challenge is to enable accurate predictions with limited reference data. We, therefore, employ a broad range of artificial intelligence algorithms that enrich process data with sophisticated domain knowledge, as well as semi-supervised approaches to incorporate unlabeled data.
Qualifications:
- A strong understanding as well as practical experience with AI and Machine Learning algorithms.
- Excellent programming skills (preferably with Python).
- A strong interest in interdisciplinary work at the intersection of semiconductor technology, data science and artificial intelligence.
We are currently seeking candidates for Master's theses, internships, and student assistant positions.
Please send your application to Dr. Jan Langer.
Don't miss this opportunity to contribute to cutting-edge research in the programmability of heterogeneous compute platforms! Apply now and be part of the Data-Based Methods team at Fraunhofer ENAS.
Contact
Dr. Jan Langer
jan.langer@…