Dr. Jan Dufek

Associate Professor

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Biography

Jan Dufek is an Associate Professor at the Royal Institute of Technology (KTH) specializing in nuclear science and engineering. His research focuses on the development of new numerical methods for linear and non-linear Monte Carlo neutron transport simulations. His work aims to enhance the realism of coupled simulations in nuclear reactor physics, particularly in the context of both criticality calculations and thermal-hydraulic feedback systems. He also concentrates on Monte Carlo burnup simulations that track the entire fuel cycle of nuclear reactors. Additionally, Dufek is interested in fission source convergence problems related to Monte Carlo criticality calculations and works on techniques to boost efficiency in these simulations. His contributions include the development of polynomial-regression based nodal nuclear data models, facilitating improved reactor simulations. Jan is a dedicated educator, teaching courses such as Applied Modern Physics and Monte Carlo Methods in Nuclear Technology.

Research Interests

Monte Carlo Neutron Transport Simulations Nuclear Reactor Physics Coupled Simulations Monte Carlo Burnup Simulations Fission Source Convergence Polynomial-Regression Based Nodal Nuclear Data Models

Experience

Associate Professor

2015-01-01 — Present

Royal Institute of Technology • Stockholm, Sweden

Teaching and research in Nuclear Science and Engineering.

Courses

Applied Modern Physics (SH1015) Monte Carlo Methods Simulations Nuclear Technology (SH2704) Nuclear Reactor Physics, Major Course (SH2600) Project work in Physics, Smaller Course (SH2009)

Requirements for Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3.7
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Writing
Required:20
Total
Required:90
PTE
Writing
Required:61
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in a relevant field Calculus in one variable Linear Algebra Probability Theory and Statistics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of completed courses and grades
  • Proof of English proficiency
  • Copy of passport
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Summary sheet (if required by program)
  • Letters of Recommendation (standard for most programs)
Specialization Notes

Specific requirements apply to all departments. For Architecture, a portfolio is mandatory and submitted via a separate KTH system.