Dr. Christian Waldstrøm

Associate Professor

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Biography

Christian Waldstrøm is an Associate Professor at Aarhus University, where he focuses on the dynamics of organizations through the lens of social network analysis. His work includes the exploration of organizational structures and their implications for employee well-being and performance. He has contributed significantly to educational programs aimed at enhancing student well-being. Waldstrøm has served on various academic committees, including the Study Board of Business Administration and Economics, and has held the position of Deputy Head of Department. His research interests include Innovation Networks, Network Management, Knowledge Sharing, and Organizational Development. He has been an active participant in several international conferences and has contributed to peer review processes for numerous manuscripts. Throughout his career, he has delivered lectures and served as a speaker at significant academic meetings. Waldstrøm’s expertise in Organizational Theory is reflected in the unique fingerprint that characterizes his research output, which spans multiple collaborative projects and contributions to the field.

Research Interests

Experience

Associate Professor

2001-01-01 — Present

Aarhus University • Aarhus, Denmark

Responsible for teaching, research, and administrative duties within the Department of Management, focusing on social network analysis and organizational behavior.

Awards

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Outstanding Reviewer: OB Division

2006-08-01
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Årets Underviser 2006

2006-10-27

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.