Location: South Kensington, London
Job Summary
The Department of Chemical Engineering is seeking a Research Associate to join the SANGRIA (Spray cooling high power dissipation Applications (SANGRIA) project, funded by the Engineering and Physical Sciences Research Council (EPSRC), in collaboration with Brunel and Edinburgh. The main role of the post holder will be to carry out molecular modelling and molecular dynamics (MD) simulations relevant to boiling and two-phase heat transfer applications aligned with the SANGRIA objectives. Of crucial importance is to couple the MD work at the nucleation scale to meso- and macro-scale models in terms of the flow and thermal fields, as well as interface shape (of the nucleated, growing bubble), taking into account substrate properties. The numerical tools to be developed as part of SANGRIA will ultimately allow simulation of bubble nucleation, growth, and detachment from multiple sites on substrates with well-defined geometry and wettability in order to optimise heat transfer in spray cooling.
Duties and responsibilities
You will interact closely with the Matar Fluids Group (MFG) and will collaborate with the SANGRIA researchers at Brunel and Edinburgh on coupling the molecular-scale predictions with the CFD models at Edinburgh, and on validating the numerical predictions against experimental data generated at Brunel and Edinburgh. There will also be regular interactions with the SANGRIA industrial partners for the dissemination of the project results, and for technology transfer. You will also interact with the multi-sector industrial partners the MFG, will be expected to submit publications to refereed journals, help attract external research funding, and help Prof. Matar with co-supervision of MFG members.
Essential requirements
You should hold a PhD in Engineering, chemistry, physics, or a closely related discipline. You should have a strong background in molecular simulations, coupling of micro-scale to larger-scale models, boiling/phase change, two-phase flows, and heat transfer. Knowledge and experience with computational fluid dynamics (CFD) is desirable.
You should have considerable experience in developing models, numerical tools, and writing computer programs. You should also have knowledge of programming languages (e.g. C++, FORTRAN 90, Python), parallelisation (MPI) on high performance computers (HPC), and open-source software, e.g. LAMMPS, OpenFOAM.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £40,694 – £43,888 per annum.
Further Information
You can start from 1 January 2024. The contract will run until 31 December 2025 in the first instance, with extension subject to research funding. The post is based in the Department of Chemical Engineering at Imperial College London (South Kensington Campus).
Informal enquiries about the post can be made to Professor Omar Matar ([email protected])
To apply, please visit our website: https://www.imperial.ac.uk/jobs/. You will find this vacancy by searching either the position title or job number: ENG02762. Candidates will need to complete an online application.
Further information about the post is available in the job description.
Should you have any queries about the application process please contact [email protected].
Closing date: Midnight on 2 weeks from advertisement
For technical issues when applying online please email [email protected]
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