Dr. Natalie Neumeyer

Professor

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Biography

Natalie Neumeyer is a Professor of Mathematical Statistics Applications at the University of Hamburg. She has an extensive academic background, holding a PhD from the Ruhr-University Bochum, where her thesis focused on the comparison of nonparametric regression functions using stochastic processes. Professor Neumeyer completed her habilitation in 2006 at the same institution, with a thesis on bootstrap procedures and empirical processes. Since 2007, she has been a full professor at the University of Hamburg, previously serving as a junior professor and research assistant at the Ruhr-University Bochum. Her research interests are primarily in non-semi-parametric statistics, model testing, bootstrap curve estimation, empirical processes, and time series analysis. She has been an associate editor for several academic journals and is actively involved in promoting young scientists through her leadership roles in various committees. In addition to her teaching and research responsibilities, she also chairs the examination board for the Master’s program in Business Mathematics.

Research Interests

Experience

Professor

2007-10-01 — Present

University of Hamburg • Hamburg

Teaching and researching in the field of Mathematical Statistics.

Junior Professor

2006-03-01 — 2007-09-30

University of Hamburg • Hamburg

Focused on Mathematical Statistics and Stochastic Modeling.

Research Assistant

2002-10-01 — 2006-02-28

Ruhr-University Bochum • Bochum

Assisted research in the Faculty of Mathematics.

Requirements for University of Hamburg

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree in Computer Science or related field At least 60 ECTS in core computer science subjects
Application Checklist
  • Transcript of Records
  • Bachelor's degree certificate (or preliminary transcript)
  • Proof of English proficiency
  • Curriculum Vitae
  • Letter of Motivation
  • Module descriptions/table of 60 ECTS in CS
Specialization Notes

Includes tracks like Intelligent Adaptive Systems (IAS).