DURHAM UNIVERSITY

PDRA in Modelling Wetting Phenomena and Interfacial Flows

Location
Durham (County) (GB)
Salary
£34304 - £40927 per annum
Posted
27 Jul 2022
End of advertisement period
26 Aug 2022
Ref
22001222
Academic Discipline
Physical Sciences, Physics & Astronomy
Contract Type
Fixed Term
Hours
Full Time

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.