Dr. Björn Eskofier

Professor

Build a Statement of Purpose

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

Biography

Björn Eskofier is a leading researcher in the field of Artificial Intelligence and Biomedical Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg, where he heads the Machine Learning and Data Analytics Lab. His academic journey includes roles as a DFG-Heisenberg Professor and Assistant Professor, significantly contributing to the Digital Sports Group. Eskofier has an extensive background in machine learning, particularly in applications related to human performance analysis and classification software development, collaborating with notable institutions such as Harvard Medical School. His research interests encompass temporal trajectory-aware video quality measures and perceptually motivated video quality assessments, reflecting his expertise in mobile content quality experience and pattern recognition. Eskofier's academic foundation was built during his studies in Electrical Engineering at FAU, followed by a Ph.D. at the University of Calgary, where he was mentored by Dr. Benno Nigg. He has been actively involved in various projects and has published numerous papers in prestigious journals, establishing himself as a prominent figure in both academia and industry.

Research Interests

Experience

Head of Department

2017-03-01 — Present

Friedrich-Alexander-Universität Erlangen-Nürnberg • Erlangen, Germany

Leading the Department of Artificial Intelligence and Biomedical Engineering.

Visiting Professor

2016-01-01 — 2016-12-31

Motion Analysis Lab, Harvard Medical School • Boston, USA

Contributed to research on motion analysis.

Assistant Professor

2011-01-01 — 2017-01-01

Friedrich-Alexander-Universität Erlangen-Nürnberg, Pattern Recognition Lab • Erlangen, Germany

Head of the Digital Sports Group focusing on sports analytics.

Classification Software Developer

2010-01-01 — 2010-12-31

adidas AG • Germany

Developed classification software for sports applications.

Ph.D. Student

2008-01-01 — 2010-01-01

University of Calgary, Human Performances Lab • Calgary, Canada

Conducted research in human performance analysis under the supervision of Dr. Benno Nigg.

Research Staff Member

2006-01-01 — 2008-01-01

Friedrich-Alexander-Universität Erlangen-Nürnberg, Digital Sports Group • Erlangen, Germany

Contributed to various research projects in the field of digital sports.

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).