Dr. Sandra Eckert

Professor

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Biography

Sandra Eckert has been a professor of Political Science at the Friedrich-Alexander University Erlangen-Nuremberg since August 2022. She previously served as a Marie Skłodowska-Curie COFUND Fellow and Associate Professor at the Aarhus Institute of Advanced Studies in Denmark. She has also held positions as a junior professor for politics in the European multi-level system at Goethe University Frankfurt and has taught at multiple universities including Osnabrück University and the Free University of Berlin. Eckert's research focuses on comparative political science, European integration, and the regulatory landscape of the EU. She has published extensively, including two monographs and articles in renowned journals. Her interests span various topics such as comparative capitalism research, regulatory policies, and the interplay between economic forces and environmental concerns. She has directed significant projects examining the political culture and satisfaction with democracy in Germany and Austria in relation to the upcoming European elections, seeking to understand how institutional trust influences electoral decisions.

Research Interests

Experience

Professor

2022-08-01 — Present

Friedrich-Alexander University Erlangen-Nuremberg • Erlangen, Germany

Leading the Department of Political Science.

Marie Skłodowska-Curie COFUND Fellow and Associate Professor

— Present

Aarhus Institute of Advanced Studies, Aarhus University • Aarhus, Denmark

Conducted research in advanced studies of political science.

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).