[Job-offers-cs] Postdoctoral Research Associate in Machine Learning of Nonequilibrium Processes

[Pekka Orponen]

Our group is seeking to fill a postdoctoral research associate position 
in Machine Learning of Nonequilibrium Processes – applications are 
invited by highly talented researchers of outstanding ability. The 
position is part of the ERC Advanced Grant "Machine-Aided General 
Framework for Fluctuating Dynamic Density Functional Theory (MAGFFDDFT)".

The overarching objective is the development of a generic 
theoretical-numerical framework aided by machine learning (ML) that 
would allow us to obtain rationally and systematically optimal 
low-dimensional general laws governing the dynamics of observables, 
which in turn can be used for the accurate and efficient analysis of 
classical fluids, and complex multiscale systems in general, in far from 
equilibrium conditions.

Your work will be primarily computational focusing on physics-informed 
ML, in particular coupling the parallel theoretical developments in the 
project with ML.

You should have (or about to receive) a PhD in Applied Mathematics, 
Computer Science, Computational Science & Engineering, Engineering, 
Physics, or other related field, and a strong foundation and proven 
record in scientific computing and numerical methods. Given the 
technical complexity of the research, you should have strong 
problem-solving skills.

Experience or good knowledge with some or all of the following areas is 
highly desirable: numerical and applied analysis of partial differential 
equations (PDEs)/stochastic PDEs, stochastic processes, and physics, 
especially fluid dynamics and statistical physics.

The post offers a unique opportunity to be part of a world-class 
research environment at Imperial College. You will join a highly 
interdisciplinary team working on a wide variety of exciting projects at 
the interface between applied mathematics and engineering science 
fundamentals.

You can start immediately.The post is available for 24 months in the 
first instance, with the possibility of extension subject to research 
funding. It 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 Serafim 
Kalliadasis 
(s.kalliadasis at imperial.ac.uk<mailto:s.kalliadasis at imperial.ac.uk>) or 
Dr. Miguel A. Durán-Olivencia (m.duran-olivencia at imperial.ac.uk 
<mailto:m.duran-olivencia at imperial.ac.uk>).

To apply, please visit our group website: Complex Multiscale Systems | 
Research groups | Imperial College London 
<https://www.imperial.ac.uk/complex-multiscale-systems/>. Candidates 
will need to complete an online application. For any queries about the 
application process, or if you are unable to apply online, please 
contact Mrs Sneha Saunders (chemeng.staffing at imperial.ac.uk 
<mailto:chemeng.staffing at imperial.ac.uk>).



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Serafim Kalliadasis
Imperial College
London
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