Postdoctoral Research Associate on the modelling of Battery Thermal Management Systems

London (Greater) (GB)
Tuesday, 1 December 2020
End of advertisement period
Sunday, 10 January 2021
Contract Type
Full Time


Founded in 1894, City, University of London is a global university committed to academic excellence with a focus on business and the professions and an enviable central London location.

City attracts around 20,000 students (over 40% postgraduate level) from more than 150 countries and staff from over 75 countries.

In the last decade, City has almost tripled the proportion of its total academic staff producing world-leading or internationally excellent research.

Led by President, Professor Sir Paul Curran, City has made significant investments in its academic staff, its estate and its infrastructure and continues to work towards realising its vision of being a leading global university. 

The Department of Mechanical Engineering and Aeronautics is pleased to advertise one position for the role of Postdoctoral Research Fellow, as part of the ‘I-BAT’ (Immersed-cooling Concepts for Electric Vehicle Battery Packs using Viscoelastic Heat Transfer Liquids) project funded by the European Commission. The role’s main tasks are to formulate modelling approaches for simulating the flow and heat-transfer behaviour of non-Newtonian nanoparticles suspensions, as well as to perform CFD simulations of Battery Thermal Management Systems with different geometries and cooling media.    

The postholder will work closely with the principal investigator and the co-investigator to ensure project deliverables and milestones are met in a timely manner; interact with the partners of the consortium to ensure smooth execution of inter-depending tasks; as well as play a role in raising the national and international profile of The Team by publishing articles in international journals and attending international conferences and workshops.    

Person Specification
The successful candidate must hold a good first degree and a PhD in Mechanical Engineering or Physics and have advanced understanding of Computational Fluid Dynamics methodologies, code development, as well as experience in using/modifying commercial/open source CAE software (e.g. ANSYS Fluent, OpenFOAM) in High Performance Computing (HPC) environments. Further familiarisation with conjugate heat transfer and modelling approaches relevant to the flow behaviour of complex fluids (non-Newtonian, nanofluids) is highly desirable.    
Additional Information

City offers a sector-leading salary, pension scheme and benefits including a comprehensive package of staff training and development.

Closing date for applications: 11:59PM 10th January 2021

Actively working to promote equal opportunity and diversity.

Academic excellence for business and the professions.