Master Thesis with 3DSE Management Consultants.
📌 Key facts
- 📌 Key facts
- 💡 Background
- 🦾Who We Are
- 🎯 Goals
- 🎓 Profile
- 📚 Further Reading
- ➕ Additional Information
- 📝 How to Apply
- 📬 Contact
💡 Background
Many organizations have shown that Generative AI pilots are technically feasible, but struggle to scale them into reliable solutions with measurable value. Scaling requires more than access to models: it also depends on data, architecture, governance, workflow integration, skills, change management, and performance measurement. Development organizations face additional challenges around intellectual property, varied engineering data, long product life cycles, quality, and traceability.
🦾Who We Are
3DSE Management Consultants is a specialized management consultancy focused on product and service development. We help industrial companies make their development organizations more effective by improving strategy, processes, structures, and collaboration. Our work combines rigorous methods with a strong focus on people and behavior to turn complex challenges into measurable results.
The Chair for Strategy and Organization is focused on research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics such as Agile Organisations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership, and Teams.. We are always early in noticing trends, technologies, strategies, and organisations that shape the future, which has its ups and downs.
🎯 Goals
Develop an empirically grounded Target Operating Model for AI-enabled Systems Engineering.
Research question: Which Systems Engineering activities can be automated or augmented by Generative AI, and where must human judgment and accountability remain central?
🎓 Profile
Suitable for students in systems or industrial engineering, mechanical engineering, computer science, information systems, or a related field. Applicants should understand product development or Systems Engineering and be interested in organizational design and human–AI collaboration. Strong analytical and conceptual skills, plus familiarity with qualitative research, are desirable.
📚 Further Reading
- ISO/IEC/IEEE (2023), Systems and Software Engineering—System Life Cycle Processes (15288:2023).
- Raisch and Krakowski (2021), Artificial Intelligence and Management: The Automation–Augmentation Paradox.
- Dellermann et al. (2019), Hybrid Intelligence.
- Puranam (2021), Human–AI Collaborative Decision-Making as an Organization Design Problem.
➕ Additional Information
The thesis will classify Systems Engineering activities by their potential for automation, AI augmentation, human–AI collaboration, or human-led decisions. Criteria may include standardizability, context dependency, criticality, explainability, and accountability. Expert interviews, workshops, or case studies can validate the resulting process, role, competency, governance, and implementation recommendations.
📝 How to Apply
Email the thesis title you are interested in and a short introduction to your background and research interests.
📬 Contact
Prof. Dr. Clemens van Dinther
3DSE Management Consultants GmbH