Dr. Jack Lidmar

Associate Professor

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Biography

Jack Lidmar is an Associate Professor at KTH Royal Institute of Technology specializing in condensed matter theory and statistical physics. His research primarily focuses on fluctuation phenomena in superconductors and superconducting nanostructures, as well as aspects of biological physics including the mechanical properties of viruses. He has developed efficient Monte Carlo simulation methods to examine critical phenomena, phase transitions, and disordered systems such as glass phases. Alongside his research, Dr. Lidmar contributes to education by teaching various courses in Computational Physics and Engineering Mathematics, and serving as an examiner for several degree projects across different engineering disciplines.

Research Interests

Statistical Physics Condensed Matter Biological Physics Fluctuation Phenomena Superconductors Superconducting Nanostructures Monte Carlo Simulation Methods Phase Transitions Critical Phenomena Quantum Phase Transitions Disordered Systems Mechanical Properties of Viruses

Courses

Computational Physics (FSI3080) Computational Physics (SI2530) Degree Project Engineering Physics (SA114X) Degree Project Mechanical Engineering (SA118X) Degree Project Theoretical Physics (SI201X) Degree Project Vehicle Engineering (SA115X) Degree project Engineering Mathematics (SA120X) Programme Integrating Course in Engineering Education, year 1 (LT1041) Programme Integrating Course in Engineering Education, year 2 (LT1042) Programme Integrating Course in Engineering Education, year 3 (LT1043) Quantum Information (SH2381) Statistical Physics (SI1162)

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).