Dr. Jan Stupacher

Associate Professor

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Biography

Jan Alexander Stupacher is an Associate Professor at Aarhus University in the Department of Clinical Medicine - Center Music Brain. His research interests focus on rhythm perception and production, sensorimotor synchronization, social interactions in musical contexts, and the pleasurable urge to move to music, particularly in relation to the known experience of groove. Stupacher received the Erwin Schrödinger postdoctoral fellowship from the Austrian Science Fund (FWF) and a DOC doctoral fellowship from the Austrian Academy of Sciences (ÖAW). He studied Psychology at the University of Tübingen, Germany, and earned his doctoral degree in Psychology from the University of Graz, Austria, in 2017, specializing in music perception and cognition. His research has led him to collaborate with various institutions, including the Max Planck Institute for Human Cognitive Brain Sciences in Leipzig, where he was involved in the Music Cognition Action research group. Stupacher has been active in numerous projects exploring the neural correlates of beat perception and the effects of music on social bonding.

Research Interests

Experience

Associate Professor

2017-01-01 — Present

Aarhus University • Aarhus C, Denmark

Working in the Department of Clinical Medicine - Center Music Brain.

Awards

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Erwin Schrödinger postdoctoral fellowship

2019-09-01
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DOC doctoral fellowship

2015-01-01
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ESCOM Young Researcher Award

2017-01-01
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INGE St. Doctoral Dissertation Award

2018-01-01
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SEMPRE Conference Award

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.