Modelling gas-microdroplet interaction and dispersion for decontamination applications

Are you interested in pursuing a PhD in Computational Fluid Dynamics (CFD) at the University of Edinburgh? We are currently looking to recruit a talented, hardworking, and passionate PhD student to study the interactive and dispersive behaviour of different sterilant formulations during the decontamination of materials with complex geometries and the disinfection of indoor spaces.

Efficient dispersion of sterilants such as ethylene oxide, vapourised hydrogen peroxide and ozone is a crucial determinant of microbial inactivation potential during the decontamination of ordinary surfaces, medical equipment, and indoor environments. This project will focus on the development of CFD-based models that will enable better designs of disinfection equipment and layouts of indoor spaces. The project will also involve some laboratory experimentation, which will be essential for validating CFD simulations. You should have a background in multiphase flow modelling with excellent data post-processing and programming skills (e.g., via user-defined functions in relevant CFD Software). A strong interest or research experience in numerical methods and high-performance computing is also essential.

As a PhD student, you will be exposed to diverse activities (local and international) to support your professional development. You will have the opportunity to present your findings at conferences, workshops, and seminars. The ongoing collaborations with our industry partners will facilitate the real-world applicability of your findings.

This project will be supervised by Dr Emmanuel Epelle and Dr Dimitrios Gerogiorgis. Please note that the position may be closed earlier if a suitable candidate is found. 

We look forward to hearing from you if this position interests you.

Application Documents

  • 3-page Research Proposal
  • Curriculum Vitae (showing list of publications)
  • Degree Transcripts/Certificates to date

Further Information: 

The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here:

Closing Date: 

Thursday, September 7, 2023

Principal Supervisor: 

Assistant Supervisor: 


  • An excellent undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent) in a relevant Engineering discipline or a related field with mathematical relevance.
  • An MSc/MEng in a relevant Engineering discipline or a related field with mathematical relevance.
  • Good programming skills (C, C++, MATLAB or Python).
  • General laboratory skills, experimental data collection and interpretation.

Further information on English language requirements for EU/Overseas applicants.


Tuition fees + stipend are available for Home/EU and International students

Informal Enquiries: