PhD in the field of Drive Systems Software Baselayer - Powertrain Software in cooperation with a university from June 2025

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Number: MER0003LA5 Mercedes-Benz AG is a pioneer in the automotive industry and actively involved in shaping the future of mobility. With a clear focus on the development of its own brand-specific and competition-differentiating functions, the company strives to bring software-driven innovations to the customer more efficiently. The MB.OS (Mercedes-Benz Operating System) operating system plays a crucial role and is continually being developed to strengthen the company's future. In our RD/EDB (Drive Systems Software Baselayer) department, we are looking for a*n motivated doctoral student who, as part of the MB.OS Software Development & Toolchain team, supports the development of different generations of the drive controller. The focus is on the anomaly detection and resource management in real-time-capable systems, in particular in the area of the automotive drivetrain. The aim is to analyze and model the system states using different performance data, including CPU traces and measurement reports from different test and measurement tools. Your tasks include: Development of methods for anomaly detection and resource management for real-time critical systems Processing and analysis of CPU profiles as well as measurement data from various tools for system performance assessment Application of formal methods and machine learning for pattern recognition and modeling Implementation and validation of algorithms for the status estimation of powertrain systems Cooperation with interdisciplinary teams from research and industry Publication of scientific results and presentation at conferences Adjustment requirement is the support of the doctoral project by a university lecturer. The selection of a corresponding person is the responsibility of the doctoral student.

Complete master's degree in computer science, electrical engineering or a comparable subject area Secure German (B1) and English (B2) in word and writing Very good programming knowledge in at least one of the following languages: Python, C, C++, C# Safe handling of relevant analysis and development tools Knowledge in the fields is of advantage: Formal methods and compiler theory Real-time systems and resource management Powertrain systems in the automotive sector Machine Learning and Big Data Analysis Modern CPU architectures

Experience with scientific work and publications desirable Individual initiative, team capacity and interest in interdisciplinary research Additional information: Do you want to make your doctorate in cooperation with Mercedes-Benz Group AG? We offer you an international network of experts, research materials, work insights and personal mentors that will assist you as a contact person in addition to your faculty. Doctorate at a renowned university with the support of Mercedes-Benz Group AG as a non-academic partner – and use the know-how of a globally active group. Please apply exclusively online and mark your application documents as ''relevant for this application' in the online form. Information on the setting criteria can be found here. Members of countries outside the European Economic Area may send their residence/work permit. We are particularly pleased to receive applications for disabled people and disabled people. At SBV-Sindelfingen@mercedes-benz.com you can also contact the site's severely disabled representative, who will be happy to support you in the further application process. Questions about the application process will be answered by HR Services by e-mail to myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10-12 am and 13-15 pm).

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