Phd Thesis Ai-driven Architectural Frameworks for Multi-domain Engineering

Job ID - 478692 - Posted since - 26-Sep-2025 - Organization - Foundational Technologies - Field of work - Internal Services - Company - Siemens AG - Experience level - Early Professional - Job type - Part-time - Work mode - Hybrid (Remote/Office) - Employment type - Fixed Term - Location(s) - Garching - Bayern - Germany **Mode of Employment**:Fixed Term; 20 hours / week **What we offer you** - Attractive remuneration package - 30 leave days and a variety of flexible working models that allow time off for yourself and your family - Share matching programs to become a shareholder of Siemens AG - Continuous Learning: Benefit from specialized training and daily challenges to keep your expert knowledge up-to-date - Innovative Environment: Be part of a team that values innovation and continuous improvement Since each of over 300,000 employees feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here. **You'll make an impact by** Your research will focus on developing novel approaches to optimize software engineering workflows, particularly in highly complex real-world scenarios using emerging technologies such as LLMs and generative AI, in general. - You will develop AI-driven architectural frameworks for multi-domain engineering, focusing on the effective provision and maintenance of system-aware knowledge within complex engineering and change management processes - Additionally, you will identify necessary architectural patterns and mechanisms to manage hallucination in intelligent systems, ensuring a balance between adaptability and reliability - Furthermore, you will align model-based reasoning with Large Language Model (LLM)-based reasoning to enhance the integration of explicitly known constraints into agentic reasoning processes - You will also evaluate the extent to which explicit system structure is necessary, exploring decentralized communication approaches among various agents to improve AI-driven processes - Lastly, you will determine the scope and extent of models required for effective AI-driven change management, integrating automation with human-in-the-loop interventions to ensure system robustness and accountability **This is how you'll win us over** - ** Education**: You have a Master's degree in Computer Science, Software Engineering, or a closely related field, with an excellent academic record - ** Experience and Skills**: - Strong background in software engineering, with a focus on software design principles, distributed systems, and architectural patterns - Proficiency in artificial intelligence and machine learning, including experience with large language models, knowledge representation, and agent-based systems - Advanced programming skills in relevant languages such as Python, and familiarity with AI/ML frameworks - ** Ways of Working**: Ability to break down complex problems and propose innovative solutions, combined with excellent scientific communication skills - ** Languages**: Excellent proficiency in English About Us Our research group "Architecture Definition and Management" is revolutionizing how software and system architects work in the digital age. We're not just adapting to the future—we're actively shaping it through cutting-edge research and innovation in software architecture practices. Join us on this exciting journey to shape the future of architecture at Siemens. Make your mark, drive meaningful technological change, and be part of an exceptional team pushing the boundaries of what's possible in software engineering