Student for master%27s thesis - GenAI and NLP based processing of non-functional Requirements

Mercedes Benz AG; Sindelfingen (Stadt); Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

Mercedes Benz AG is seeking a master's thesis candidate focused on enhancing AI capabilities in production engineering. This role involves research on integrating semantic technologies and LLMs in production planning, with opportunities for collaboration on ongoing projects. Candidates should have a background in IT, Computer Science, or Mechatronics, and be proactive in decision-making.

Qualifikationen

• Focus on IT with engineering experience preferred.
• Knowledge of relevant AI technologies is crucial.
• Proficient in English; German is a plus.

Aufgaben

• Develop methodologies to describe machine-readable non-functional requirements.
• Implement and deploy solutions within a UI or digital twin.
• Collaborate closely with ongoing doctorate projects.

Kenntnisse

Experience with LLMs

Semantic mapping

Ontologies

Knowledge graphs

Digital twins

Handling non-functional requirements

Teamwork

Communication skills

Ausbildung

Studies in IT, Computer Science, Mechatronics, or related field

Jobbeschreibung

In the body in white production engineering, we are responsible for the design, construction, and ramp-up of our production lines within the stamp shop, body shop, and paint shop. This involves the integration of new vehicles from R&D and constraints from our factories. Currently, this involves planning with a high degree of uncertainty, modelling complex scenarios, and handling various constraints and non-functional requirements.

To facilitate this process, our aim is to develop a system that efficiently manages these constraints and non-functional requirements and enhances existing AI technologies by incorporating semantics.

Your thesis will focus on improving these generic AI capabilities with domain-specific knowledge to increase precision and user interaction efficiency.

Your project is divided into interconnected steps, including:

1. Identification of relevant AI technologies
2. Identification of design decisions in production planning that trigger constraints and requirements
3. Application of semantic technology stacks on requirements and constraints
4. Development of methodologies to describe machine-readable NFRs
5. Development of assisted or automated validation routines (e.g., verifying if constraint X is valid for product part Y in project Z)
6. Implementation and deployment within a UI or digital twin

You will build upon existing research and collaborate closely with an ongoing doctorate project. Initiative and proactive decision-making are encouraged to challenge the status quo and foster innovation.

The final thesis will be selected in consultation with you, the university, and our team. The master thesis can commence from September 2025.

Qualifications include:

• Studies in IT, Computer Science, Mechatronics, or a related field with a focus on IT; engineers should demonstrate significant IT experience
• Experience with LLMs, semantic mapping, ontologies, knowledge graphs, digital twins, and handling non-functional requirements
• Proficient in English; German skills are a plus
• Enjoyment of diverse tasks, quick comprehension, independent and structured working style, along with teamwork and communication skills

Additional information:

Applications should include CV, enrollment certificate, current transcript, relevant certificates (max 5 MB), and should be marked as "relevant for this application" in the online form.

Details on employment criteria can be found here.

Non-EU citizens should include their residence/work permits if applicable.

We welcome applications from candidates with disabilities or similar impairments. For inquiries, contact the local disability officer at [e-mail].

Note: Paper applications are not accepted, and documents will not be returned.

For questions about the application process, contact HR Services at [e-mail] or call 0711/17-99000 (Mon-Fri, 10am-12pm & 1pm-3pm).