PhD Student in Secure Intelligent Distributed Systems | Promotion (m/w/d)

Universität Münster

Münster, Westfalen, Nordrhein-Westfalen, Deutschland
Published Mar 5, 2026
Full-time
No information

Job Summary

This full-time research position at the University of Münster offers a unique opportunity to pursue a doctorate within the 'Secure Intelligent Distributed Systems' working group. The successful candidate will engage in high-level research focusing on critical areas such as the security of machine learning, automated IT security risk management, or privacy-enhancing technologies. Day-to-day responsibilities include conducting original research, publishing findings in prestigious international journals and conferences, and contributing to the university's academic mission through teaching and student supervision. The role involves 4 hours of teaching per week and participation in academic self-administration. This position is particularly attractive due to its integration into a vibrant research environment, flexible working hours with home-office options, and comprehensive public service benefits, including a specialized pension scheme. It provides a structured path toward a PhD while gaining professional experience in a leading academic institution known for its high quality of life and research excellence.

Required Skills

Education

Master's degree or University Diploma in Computer Science or a closely related field is required. Candidates nearing completion of their degree are welcome to apply, provided the degree is obtained before the start of employment.

Experience

  • Professional experience in scientific research and academic methodology
  • Experience in publishing research results in conferences or journals is preferred
  • Experience in teaching or mentoring students is an advantage
  • Demonstrated experience in analytical and solution-oriented thinking

Languages

German (Fluent)English (Fluent)

Additional

  • The position is a fixed-term contract for 3 years. Includes a teaching obligation of 4 semester hours per week. Candidates must be eligible for the E 13 TV-L salary scale.