PDRA in Modelling Wetting Phenomena and Interfacial Flows
- Employer
- Durham University
- Location
- United Kingdom
- Salary
- Salary Commensurate with experience
- Date posted
- Jul 27, 2022
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Other Science & Technology
- Employment Level
- Post-Doc
- Employment Type
- Full Time
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The Department
The Department of Physics at Durham
University is one of the top UK Physics departments with an
outstanding reputation for excellence in teaching, research and
employability of our students. Ranked in the top 10 in REF2022 in
ters os power, 96% of Durham Physics research was considered wither
to be of "internationally excellent quality" or "world
leading".
The Department is committed to
advancing equality and we aim to ensure that our culture is
inclusive, and that our systems support flexible and
family-friendly working, as recognized by our Juno Champion and
Athena SWAN Silver awards. We recognise and value the benefits of
diversity throughout our staff and students.
The Role
Applications
are invited for a Postdoctoral Research Associate in modelling
wetting phenomena and interfacial flows, to work with Prof Halim
Kusumaatmaja in the Department of Physics at Durham University and
Dr Rodrigo Ledesma-Aguilar in the School of Engineering at the
University of Edinburgh. The candidate is also expected to interact
closely with an experimental Postdoctoral Research Associate and
the academic team: Prof Glen McHale and Dr Gary Wells based in the
School of Engineering at the University of Edinburgh
The position is
to commence in February 2023 or as soon as possible thereafter. The
post is fixed term for 36 months.
The position is
part of a Leverhulme Trust grant on "Fluid Mechanics of
Wettability-Patterned Liquid Surfaces" recently awarded to Dr
Ledesma-Aguilar, Prof Kusumaatmaja, Dr Wells and Prof McHale. The
overarching aim of the project is to study how droplets interact
with domains of distinct droplet-on-liquid wettability. It is
anticipated the candidate for this post will combine analytical
modelling and a state-of-the-art numerical approach based on the
lattice Boltzmann method.
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