The industrial doctorate at Infineon: Pursue a doctoral degree at a university and gain professional experience simultaneously - an ideal start for your career. Advance your research with us and profit from our vast network of doctoral candidates and the expertise of a university. Mentorship is handled by both professors and dedicated Infineon employees. We are offering a doctoral thesis dealing with code generation, which is a widely accepted approach to boost design productivity be it in hardware (RTL HDL) or software (C, C++, …). The generation covers at the moment mainly structural aspects as RTL netlists or C++ class diagrams. Functionally is only rarely supported, and if then state diagrams only. Since state diagrams are inefficient to describe e.g. DSP functionality, it becomes clear, that generation of functional software is quite limited today. That is the starting point for this PhD thesis. The goal is to enable and proof the benefit of functional software generation. We offer: • Realistic, challenging, and impactful problems • The possibility of putting problems into an overall context • Collaboration with colleagues and teams that is seldom found anywhere in the world in terms of depth and breadth • A potential 3 months research stays at top universities worldwide and / or Europe wide cooperation of experts as part of funded research activities • An Infineon internal PhD community The thesis will be written in cooperation with Technical University Munich and under the supervision of Prof. Dr. Wolfgang Ecker.
The tasks within the thesis will consist of:

• A generic approach for modeling functionality in a language independent way
• Mapping of this target independent model to a target code specific model and generation of code by un-parsing target code specific models
• Targeting C, C++ and RUST and as an optional extension SystemC, VHDL and Verilog functional code
• Assembler and special instruction support in models and translation to target code
• Multi-Precision Floating Point in SW for general and specialized hardware for AI and DSP
• Provide an end-to-end validation with RISC-V as a target processor
• Open Source Contribution

This doctoral thesis should also study existing approaches and prove the applicability and get feedback to enhance the methodology.

The learnings out of the thesis will be:

• Generic firmware and hardware design and implementation
• Methodology of 'code generation' in an industrial environment
• Modeling and Meta-Modeling
• Various Modeling and Abstraction concepts and their implementation

A doctoral student is a research enthusiast,
› …whose interests are scientific research combined with the passion for Infineon’s innovative products and applications.
› …who enjoys working in an industrial environment in combination with an Infineon partner university.
› …who appreciates open communication and the contribution of an international environment.
› …and is thus an excellent candidate for a further academic or industrial career after completion of their thesis.

As the ideal candidate you:

• Graduated in computer engineering, electrical engineering or a related field with very good grades
• Are interested in complex, interdisciplinary and interlinked tasks and should like to solve them together with colleagues
• Possess good presentation skills, helping you to present challenging issues clearly and simply
• Are curious and open as well as interested in learning and trying out new things
• Gained first experience with metamodeling, (template-based) code generation and/or model-driven architecture
• Have knowledge in object-oriented programming with languages such as C ++ and Python and embedded programming with C and/or Assembler
• Possess good knowledge of digital design and RTL modeling in VHDL and/or (System)Verilog and embedded system architectures
• Are interested in generation and recursive application of generation, e.g. generation of generators
• Possess very good language skills in English and ideally German