We are seeking a motivated Master's or Bachelor's student to conduct research on the intersection of confidential computing, real-time systems, and edge computing. This thesis project will focus on evaluating and optimizing the performance of confidential workloads running on edge platforms, with particular emphasis on Intel Trust Domain Extensions (TDX) technology and containerized environments. You collaborate closely with a multidisciplinary research team focused on edge and distributed computing as well as cybersecurity, immersing yourself in an innovative environment. Building on this, you evaluate the real-time capabilities of confidential workloads on edge platforms by systematically measuring latency and jitter. Subsequently, you benchmark Intel TDX trusted execution environments both with micro-benchmarks and full software stacks to assess the performance impact of migrating confidential workloads. Leveraging your findings, you optimize CPU and physical network isolation techniques for real-time confidential workloads in virtualized container environments. Finally, you disseminate your thesis results through white papers and academic publications, contributing to the broader research community.
Education : You are currently enrolled in a degree program in Computer Science, Information Technology, Electrical Engineering, or a related field. You have solid knowledge of operating system concepts and Linux systems programming. You have prior academic or industry experience with Linux systems programming and container technologies such as Docker. You are familiar with edge computing concepts and have a strong interest in cybersecurity. Languages : You have excellent English skills, both written and spoken.
Exciting research and development projects that put your theoretical knowledge into practice. Individual supervision and support from experienced experts in your field. Access to the latest technologies, laboratories, and resources. Diverse opportunities to contribute your ideas and actively shape the projects. Excellent career opportunities through contact with potential employers. Ways of Working : You are highly motivated to learn, work collaboratively, and contribute effectively within a dynamic research team. Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let's get to know your authentic personality and create a better future together with us. As an equal opportunity employer, we welcome applications from individuals of all backgrounds and particularly encourage applications from persons with disabilities.
At Siemens Technology, we develop the next-generation technologies that power the future of industrial automation, smart infrastructure and mobility, healthcare, and more. Located in the Technical University of Munich Campus, Garching, Siemens Technology Center offers an ideal environment for industry-academia collaboration.
#J-18808-LjbffrVeröffentlichungsdatum:
02 Mär 2026Standort:
Garching bei MünchenTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
Möchtest über ähnliche Jobs informiert werden? Dann beauftrage jetzt den Fuchsjobs KI Suchagenten!