Postdoc: Multiscale Evaporation in Nanoporous Materials

The University of Edinburgh; City of Edinburgh; Hybride; GBP 42 000 - 50 000; Plein temps

Avantages offerts par ce poste

Leading‑edge research

Publications opportunities

Professional development and training

Résumé du poste

The University of Edinburgh is seeking a Postdoctoral Research Associate to develop a multiphysics model of evaporation in sub-100 nm pores, coupling a continuum description of the liquid with a kinetic-theory vapour description. You will validate against experimental data and contribute to AI-integrated research approaches.

The role requires a computational PhD and expertise in continuum modelling (CFD) and/or kinetic theory, with an interest in AI-driven research.

Qualifications

• A computational PhD in engineering, physical sciences, applied mathematics or a clearly related area.
• Experience in continuum modelling (CFD) of liquids and/or kinetic theory of vapour, with evaporation/phase change focus.
• Interest in integrating AI agents into research workflows.

Responsabilités

• Develop a multiphysics model of evaporation in sub-100 nm pores, coupling continuum liquid and kinetic-theory vapour descriptions.
• Test the model against published experimental data and compare with existing continuum models including molecular effects.
• Collaborate with Dr Pillai and Dr Gibelli; present findings in group meetings and conferences.

Connaissances

CFD

Continuum modelling

Kinetic theory

AI in research

Formation

PhD in engineering/physical sciences/applied mathematics

Description du poste

The University of Edinburgh is seeking a Postdoctoral Research Associate to develop a multiphysics model of evaporation in sub-100 nm pores, coupling a continuum description of the liquid with a kinetic-theory vapour description. You will validate against experimental data and contribute to AI-integrated research approaches.

The role requires a computational PhD and expertise in continuum modelling (CFD) and/or kinetic theory, with an interest in AI-driven research.