Dr. Erik Aurell

Professor

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Biography

Aurell started his career in Statistical Physics and has mostly remained in this field. He currently serves on the Board of the European Physical Society Division of Statistical Nonlinear Physics. Aurell is known for his highly cited paper introducing a pseudo-likelihood maximization technique for the inference of Gibbs-Boltzmann distributions in biological data analysis, which has garnered 772 citations. His research in 2015 focused extensively on open quantum systems, particularly in the area of dynamically evolving quantum systems. He has edited a memorial volume for the late Swedish physicist Göran Lindblad, who made fundamental contributions to this area. His recent research involves quantum black holes, as evidenced by his work published in 2024.

Research Interests

Experience

Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Professor in Theoretical Biological Physics at the Department of Computational Science Technology.

Adjunct Professor

— Present

Aalto University • Finland

Joliot Chair

— Present

ESPCI, Paris • France

Guest Professor

— Present

ITP/CAS • China

Finland Distinguished Professor

— Present

Academy Finland • Finland

Director

— Present

KTH Dept Computational Biology • Sweden

Senior Researcher

— Present

SICS Swedish Institute of Computer Science AB • Sweden

University Lecturer

— Present

Dept. Mathematics, Stockholm University • Sweden

Researcher

— Present

Swedish Research Council • Sweden

Courses

Advanced Individual Course in Computational Biology Open Quantum Systems

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).