Internal Doctoral Project - Agentic Modernization of Legacy Enterprise Systems - fixed term con[...]

AUDI AG; Ingolstadt; Vor Ort; EUR 42.000 - 54.000; Teilzeit

Zusammenfassung

AUDI AG sucht eine/n herausragende/n Doktoranden/in, der/die akademische Forschung mit konkreten Fragestellungen aus dem Unternehmensumfeld verbindet und direkt mit Audi kooperiert.

Sie arbeiten eigenständig an einem innovativen Thema und entwickeln ein methodisch rigoroses Rahmenwerk für spekifikationsgetriebene Modernisierung großer Legacy‑Systeme mithilfe von Generativer KI und agentischer Codierung.

Qualifikationen

• Ein sehr guter Masterabschluss in Computer Science, Software Engineering, Artificial Intelligence oder einer eng verwandten Disziplin.
• Nachweis starker akademischer oder forschungsbezogener Potenziale durch Masterarbeit, Forschungsprojekte, Veröffentlichungen, Open-Source-Beiträge oder bedeutende Softwareprojekte
• Gute schriftliche und mündliche Englischkenntnisse; Deutschkenntnisse sind vorteilhaft, aber nicht erforderlich
• Fundierte Softwaretechnik-Grundlagen in Architektur, Modularität, Testen, Debuggen und Softwareentwicklung sowie Fähigkeit, komplexe Systeme zu verstehen und zu verbessern
• Programmierkenntnisse in mind. einer modernen Sprache, praktische Erfahrung mit Versionskontrolle, automatisiertem Testen, Build-Systemen und größeren Softwareprojekten
• Kenntnisse in statischer/dynamischer Programm-Analyse, Compilerbau, Parsing, Sprachenverarbeitung oder verwandten Methoden; Erfahrung mit ASTs, Call Graphs, Data-Flow/Control-Flow-Analysen von Vorteil
• Interesse oder Erfahrung in Large Language Models, Generativer KI und KI-unterstützter Softwareentwicklung mit kritischem Verständnis von Grenzen, Zuverlässigkeit und Fehlermodi
• Fähigkeit, wissenschaftliche Literatur zu nutzen, Forschungsfragen zu definieren, reproducible Experimente zu entwerfen und technische Ergebnisse klar zu kommunizieren
• Neugier, Systemdenken und wissenschaftliche Strenge in der Arbeitsweise
• Hinweis zur formellen Einschreibung durch die jeweilige Hochschule; Veröffentlichung relevanter Arbeiten und Notenbeispiele in der Bewerbung
• Audi Doktorandenprogramme bieten praxisnahe, zukunftsorientierte Themen mit fachlicher Anleitung und Netzwerkmöglichkeiten

Aufgaben

• Ihre Doktorarbeit adressiert die Modernisierung großer Legacy-Enterprise-Systeme mit Generativer KI und agentischer Codierung.
• Sie entwickeln ein spekifikationsgetriebenes, nachvollziehbares Modernisierungsraummodell mit Fokus auf Nachvollziehbarkeit, Governance und Unternehmenssteuerung.
• Sie publizieren wissenschaftliche Ergebnisse und nehmen an Fachkonferenzen, Workshops und Austauschrunden teil

Kenntnisse

Englischkenntnisse

Software-Architektur

Forschungsmethodik

KI/ML-Kenntnisse

Recherche-Kommunikation

Neugier & Wissenschaftliche Strenge

Ausbildung

Masterabschluss in Informatik/Softwaretechnik/AI oder verwandte Disziplin

Tools

ASTs

Call Graphs

Data-Flow Analysis

Code-Analysetools

Jobbeschreibung

Arbeitsumfeld

In the Audi doctoral programs, you combine academic research with practical questions from the corporate environment. You will independently conduct research on an innovative topic with a direct connection to Audi and work closely with Audi as well as a university or university of applied sciences.

Arbeitsumfeld

In the Audi doctoral programs, you combine academic research with practical questions from the corporate environment. You will independently conduct research on an innovative topic with a direct connection to Audi and work closely with Audi as well as a university or university of applied sciences.

We are seeking an exceptional doctoral researcher to join our team and investigate one of the most pressing challenges in modern software engineering: how to systematically and reliably modernize large legacy enterprise systems using Generative AI and agentic coding approaches. This is a unique opportunity to bridge cutting-edge AI research with real-world software engineering challenges in a complex, mission-critical domain.

As a PhD candidate, you will develop a comprehensive methodological framework for spec-driven, traceable, and verifiable agentic modernization of legacy systems—bridging cutting-edge AI research with real-world software engineering challenges in complex, mission-critical domains.

The contract is a a part-time (28hrs /week) fixed term contract for the duration of three years.

Aufgaben

• Your doctoral research addresses the challenge of modernizing large legacy enterprise systems using Generative AI and agentic coding approaches. The focus lies on developing systematic, methodologically rigorous approaches for spec-driven transformation that ensure traceability, verifiability, and enterprise governance throughout the modernization process. Key themes include specification extraction from legacy artifacts, agentic orchestration strategies, integration of deterministic analysis with AI components, verification and governance mechanisms, knowledge preservation, and practical applicability in enterprise environments.
• As part of your project you will contribute to scientific publications and participate in specialist conferences, workshops, and exchange formats.
  
  
  

Qualifikation

• A very good Master’s degree in Computer Science, Software Engineering, Artificial Intelligence or a closely related discipline
• Evidence of strong academic or research potential, demonstrated through the Master’s thesis, research projects, publications, open-source contributions, or technically substantial software projects
• Strong written and spoken English; German language skills are beneficial but not required
• Software Engineering: Strong foundation in software architecture, modularity, testing, debugging, and software evolution, with the ability to understand and improve complex systems
• Programming Skills: Solid programming experience in at least one modern language, combined with practical knowledge of version control, automated testing, build systems, and larger software projects
• Program Analysis & Software Understanding: Knowledge of static or dynamic program analysis, compiler construction, parsing, language processing, or related methods; experience with ASTs, call graphs, data-flow/control-flow analysis, or code-analysis tools is a plus
• AI/ML Knowledge: Interest or experience in Large Language Models, Generative AI, and AI-assisted software development, including a critical understanding of limitations, reliability, and failure modes
• Research & Academic Readiness: Ability to work with scientific literature, define research questions, design reproducible experiments, and communicate technical findings clearly
• You approach your work with curiosity, systems thinking and scientific rigor
• Formal admission to the doctoral program is the responsibility of the respective university/university of applied sciences and is subject to the applicable doctoral regulations
• Please make sure to include relevant publications as well as current grades in your application
• The Audi doctoral programs give you the opportunity to work on a future-oriented topic with strong practical relevance. You will receive professional guidance from the Audi specialist department and gain access to the Audi doctoral candidate network. In addition, the program offers various exchange and development formats that support your professional and personal growth.
  
  
  

Weitere Informationen

This position is available at AUDI AG in AUDI AG.

Generally all positions can be worked part time.

We anchor sustainability in our business activities, products and services. We live excitement, trust, courage and responsibility, actively encourage inclusion and create an environment that fosters each employee`s individuality in the interests of the company.

Reference Code: I-D-113097

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