Dr. Mariëlle Stoelinga

Professor

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Biography

Mariëlle Stoelinga is a Full Professor at the University of Twente where she specializes in Risk Management for high-tech systems such as robots, nuclear plants, and railway systems. Her work focuses on developing quantitative risk assessment methods to ensure that risks related to high-tech systems remain within acceptable boundaries. She employs advanced techniques such as fault trees and model-based testing to analyze, predict, and improve the reliability of complex systems. A distinguishing feature of her techniques is compositionality, allowing for the derivation of risk profiles for complex systems from component risk profiles using powerful model checking. In addition to her role at the University of Twente, she holds a part-time appointment as a full professor at Radboud University Nijmegen. Her expertise extends to Fault Tree Models, Attack Model-Based Testing, and Case Study Algorithms. Furthermore, she is involved in various advisory and supervisory roles across institutions, indicating her active participation in academia and industry collaboration.

Research Interests

Experience

Full Professor

2015-09-01 — Present

University of Twente • Enschede, Netherlands

Leading research and teaching in the areas of risk management and reliable high-tech systems.

Full Professor (part-time)

2015-09-01 — Present

Radboud University Nijmegen • Nijmegen, Netherlands

Contributing to the academic community primarily in the field of risk management.

Courses

Master Computer Science Master Risk Management

Requirements for University of Twente

Master Program
Requirements
GPA Requirement
Required:3.2
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:90
GMAT
Total Score
Required:600
Overall
Required:600
GRE General
Verbal
Required:143
Verbal Percentile
Required:25
Quantitative
Required:155
Quantitative Percentile
Required:60
Analytical Writing
Required:3
Writing Percentile
Required:25
Prerequisites
Bachelor of Science in a related field Knowledge of Statistics and Probability Knowledge of Mathematics Specialization-related topics: Operation Research, Simulation, Financial topics
Application Checklist
  • Transcript of records
  • Copy of diploma
  • Motivation letter
  • Resume (Europass format)
  • Course descriptions of relevant courses
  • English summary of thesis
Specialization Notes

Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.