Students: Exploring Machine Learning Applications in Real-Time Dose Verification for Proton Therapy

About Fraunhofer ENAS

The particular strength of the Fraunhofer Institute for Electronic Nano Systems ENAS lies in the development of smart systems - so-called intelligent systems for various applications. The systems combine electronic components, micro and nano sensors and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production as well as system concepts and system integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to the design, technology development or implementation using existing technologies, right through to the tested prototype.

The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is on semiconductor manufacturing and medical technology.

Are you passionate about cutting-edge research at the intersection of healthcare, technology and data science? Join our team in European projects and work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics. We are currently looking for students for Master's theses, internships and student assistants. We can discuss our ideas together to find the right job for you.

What you contribute

You already have some practical experience with AI and machine learning algorithms? Then you've come to the right place. Excellent programming skills (preferably in Python) are required. A strong interest in interdisciplinary work at the intersection of medical engineering, physics, mathematics and data science is essential. Still studying in Chemnitz, Mittweida or the surrounding area. A grade point average of < 2 is preffered