Dr. Frauke Liers

Professor

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Biography

Frauke Liers is a professor in the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg in Germany, where she leads research in optimization under uncertainty and data analysis. Her research primarily focuses on optimization problems, specifically those with mixed-integer nonlinear aspects, and the integration of robust mathematical methods for the design of particulate products. Liers has led numerous major projects funded by national and international sources, including the Deutsche Forschungsgemeinschaft and the European Union, targeting complex decision-making processes in various fields such as transport networks, airport operations, and energy systems. In her work, she emphasizes the application of mathematical optimization in real-world scenarios, collaborating with both academia and industry to push forward innovative solutions. Additionally, she holds editorial positions in notable scholarly journals, contributing her expertise to the academic community. Liers is dedicated to educating the next generation of researchers through interdisciplinary training in mathematical modeling, simulation, and optimization, and she actively involves students in her research initiatives.

Research Interests

Experience

Professor

2018-01-01 — Present

Friedrich-Alexander-Universität Erlangen-Nürnberg • Erlangen, Germany

Leading research and teaching in optimization under uncertainty and data analysis.

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).