PhD Thesis AI-Driven Architectural Frameworks for Multi-Domain Engineering

Siemens; Deutschland; Vor Ort; EUR 30.000 - 40.000; Teilzeit

Zusammenfassung

A leading technology firm in Germany is looking for a PhD candidate to work on AI-Driven Architectural Frameworks for Multi-Domain Engineering. The ideal candidate will hold a Master’s degree in Computer Science and have strong skills in software engineering and AI technologies. You will develop frameworks to enhance software development processes and engage in innovative research. Join an exceptional team driving meaningful change in software engineering.

Leistungen

Attractive remuneration package

30 leave days

Flexible working models

Continuous learning opportunities

Share matching programs

Qualifikationen

• Excellent academic record.
• Strong background in software engineering with design principles.
• Proficiency in AI and machine learning.

Aufgaben

• Develop AI-driven architectural frameworks.
• Optimize software engineering workflows using LLMs.
• Identify architectural patterns to manage hallucination.

Kenntnisse

Software engineering

Artificial intelligence

Machine learning

Python programming

Distributed systems

Architectural patterns

Scientific communication

Ausbildung

Master's degree in Computer Science or related field

Jobbeschreibung

Overview

Mode of Employment: Fixed Term; 20 hours / week

Are you ready to redefine the boundaries of AI and engineering? Join us as a PhD candidate for AI-Driven Architectural Frameworks for Multi-Domain Engineering in Garching, and embark on a journey to answer some of the most challenging questions in complex product engineering and change management.

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.

The individual benefits are subject to regulatory, contractual, or corporate conditions.

You\'ll make an impact by

As a PhD candidate (f/m/d) in our dynamic research group, you will be at the cutting edge of our "Architecture for Emerging Technologies" research initiative. This program is designed to develop architectural solutions and blueprints for the efficient development and evolution of software systems leveraging cutting edge technologies to empower our product and engineering teams.

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

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

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 are happy to consider applications from individuals with disabilities.

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!

www.siemens.de/careers - if you would like to find out more about jobs & careers at Siemens.

FAQ - if you need further information on the application process.