Dr. Morten Christiansen

Professor

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Biography

Morten H. Christiansen is a professor in Cognitive Science at Aarhus University, where his research focuses on the interaction of biological and environmental constraints in language evolution, acquisition, and processing. He employs a variety of methodologies, including computational modeling, corpus analyses, statistical learning, and psycholinguistic experiments. Over the course of his career, Christiansen has authored approximately 250 scientific papers, books, and four edited volumes. He has also held external positions at the Department of Psychology at Cornell University, allowing him to broaden his research influence and collaborate with other scholars in the field. His active research interests are in language acquisition, language processing, and language evolution, utilizing state-of-the-art computational modeling and corpus analysis techniques to advance understanding in these critical areas. Christiansen's contributions have been recognized within the academic community, including being elected as a Fellow of the Cognitive Science Society in 2017. He regularly engages with the broader academic community through conferences and lectures, helping to promote interdisciplinary approaches in the study of cognitive science and language.

Research Interests

Experience

Professor

2004-01-01 — Present

Aarhus University • Aarhus, Denmark

Leading research and teaching in Cognitive Science, with a focus on language acquisition and evolution.

Awards

#

Elected Fellow

2017-01-01

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.