Dr. Casper Sørensen

Assistant Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Casper Sørensen. Improve your application with a focused, well-structured draft.

Biography

Casper Sørensen is a PhD candidate at Aarhus University, actively engaged in research related to archaeology and social organization. His recent work includes contributions to a book chapter titled 'Haunting Spectre – Archaeological Studies of Social Organisation, Economic Practice, Inequality', which examines the transformation of traditions in the context of the Stone Bronze Age in Scandinavia. As part of his academic output, he has collaborated on a festschrift dedicated to Johannes Müller in celebration of his 65th birthday. Apart from his academic pursuits, Sørensen serves as a curator at the Viborg Museum, where he applies his archaeological expertise to enhance public engagement with cultural heritage. His research interests reflect an interdisciplinary approach that encompasses economic practices and social structures within historical contexts. Through his work, Sørensen aims to provide deeper insights into the evolution of societal organization throughout history.

Research Interests

Experience

PhD Student

— Present

Aarhus University • Højbjerg, Denmark

Conducting research in the field of archaeology with a focus on social organization and economic practices.

Curator

2016-08-02 — Present

Viborg Museum •

Developing exhibitions and educational programs based on archaeological findings and cultural heritage.

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.