Dr. William Fitzgerald

Instructor

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Biography

William Fitzgerald is a Lecturer at the University of Manchester, specializing in probability theory and mathematical physics. His research interests encompass a range of topics within probability, particularly focused on models that involve random growth and interacting particle systems. Fitzgerald has made significant contributions to the understanding of coalescing and annihilating particle systems, non-colliding stochastic processes, and determinantal Pfaffian point processes. He also explores random matrices and their applications in various theoretical frameworks. Fitzgerald completed his Doctor of Philosophy degree at the University of Warwick in 2019, where he researched solvable interacting particle systems. He has previously held a position as a Postdoctoral Research Fellow at the University of Sussex from September 2019 to August 2021. He is currently open to supervising PhD students and is actively seeking talented individuals for funding opportunities in his research areas.

Research Interests

Experience

Lecturer

— Present

University of Manchester • Manchester, England

Lecturer specializing in probability theory and mathematical physics.

Postdoctoral Research Fellow

2019-09-01 — 2021-08-31

University of Sussex • Brighton, England

Conducted research in probability theory and related fields.

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.