Research Associate - Hybrid AI and multiscale physical modelling for optimal urban decarbonisation combating climate change

At Imperial we are seeking two people to work on AI and physical carbon model development in urban and indoor environments with Dr Fangxin Fang in the Earth Science and Engineering Department. 

Two post-doctoral positions are available to work on the EPSRC decarbonisation project at the Earth Science and Engineering Department, Imperial College London. This interdisciplinary project aims to work on a hybrid AI and physics-informed modelling framework that has the capability to: (1) accurately assess urban carbon emissions; (2) help design and manage cities so that the carbon footprint is reduced; and (3) quantify the impact of urban carbon emissions on global climate change via coupling the new Greenhouse Gas (GHG) parameterisation scheme with existing global Earth System Models. This innovative framework will allow critical assessment of existing and new policy options on decarbonisation to be carried out, thus improving local and global climate. The modelling framework will include low carbon schemes for urban infrastructures/city layout, enabling more accurate assessment of carbon emissions, and their impacts on climate at street, neighbourhood, city, national and global scales, by coupling models that focus on these different scales. The tool could potentially change the way in which city infrastructure design, GI and BI for decarbonisation are used in our future cities and pave the way for accurate quantification of the impact of urban carbon emissions on global warming.

You will:

• Plan and carry out research in accordance with the project aims and under instruction from the project investigator.
• Develop multiscale physical urban carbon models and/or data-driven tools for smart city management
• Collect data and conduct data analysis
• Develop carbon emission control strategies

You should:

• Hold a PhD (or equivalent) in an area pertinent to the research subject e.g. Mathematics, Physics, Computing, Engineering.
• Have a background in computational science or data science (machine learning and data assimilation), in particular the theoretical development and coding of methods for the numerical solution of systems of PDEs; or data-driven modelling applications
• Experience of modern programming in languages including Fortran, C++ and Python.

• Knowledge of unstructured/adaptive mesh numerical methods for a variety of physical applications, in particular computational fluid dynamics.

• Knowledge of atmospheric, carbon or pollution processes and control of carbon emissions from human activities

These are full time positions up to 24/36 months with a possibility of extension. 

This post will be based Imperial College London’s South Kensington Campus.

*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.

Should you require any further details on the role please contact: Dr Fangxin Fang - [email protected]

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA),which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research / 

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

 Closing date: 18th February 2024.

 To apply, visit www.imperial.ac.uk/jobs and search by the job reference ENG02927.