#24-11Advanced Programmability of Heterogeneous Compute Platforms
Addressed topics: Artificial Intelligence, Others
Student Assistance Master-Thesis
Are you passionate about cutting-edge research at the intersection of hardware design and software programming? Join us as a student and help program heterogeneous compute platforms of the future, that incorporate FPGAs, GPUs and AI acceleration engines in the same device. These advanced platforms need new programming paradigms, software tools and languages to be utilized efficiently. In our group we strive to accelerate applications from medical engineering, machine learning and image processing on heterogeneous platforms.
Qualifications:
- Candidates with a strong understanding and practical experience in the principles of hardware design and/or GPU programming are preferred.
- Excellent programming skills are required.
- A strong interest in interdisciplinary work at the intersection of hardware design, mathematical methods and software development is essential.
We are currently seeking candidates for Master's theses, internships, and student assistant positions.
Interested candidates should send their applications 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@…