Dr. Sören Laue

Professor

Build a Statement of Purpose

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

Biography

Sören Laue studied mathematics, physics, and computer science at the University of Leipzig and the University of Saarbrücken. He earned his Ph.D. in algorithmics and optimization at the Max Planck Institute for Informatics. As a researcher in machine learning at Friedrich Schiller University Jena, he became a full professor at the Technical University of Kaiserslautern, where he led the Algorithms and Machine Learning group. In April 2023, he joined the University of Hamburg, where he heads the Machine Learning group. His distinguished research focuses on developing efficient algorithms and optimization methods for machine learning problems. He created the web service MatrixCalculus.org, utilized by more than 100,000 users annually. His work includes selected publications with topics surrounding tensor execution engines, Einstein summation, capsule neural networks, and convexity certificates. He aims to advance the field of machine learning through innovative approaches and robust methodologies.

Research Interests

Experience

Professor

2023-04-01 — Present

University of Hamburg • Hamburg

Head of the Machine Learning group.

Requirements for University of Hamburg

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree in Computer Science or related field At least 60 ECTS in core computer science subjects
Application Checklist
  • Transcript of Records
  • Bachelor's degree certificate (or preliminary transcript)
  • Proof of English proficiency
  • Curriculum Vitae
  • Letter of Motivation
  • Module descriptions/table of 60 ECTS in CS
Specialization Notes

Includes tracks like Intelligent Adaptive Systems (IAS).