Job Information
Organisation/Company: Imperial College London Department: Department of Chemical Engineering Research Field: Engineering, Computer science, Mathematics, Physics Researcher Profile: Recognised Researcher (R2) Positions: Postdoc Positions Application Deadline: 30 Aug 2026 - 23:59 (Europe/London) Country: United Kingdom Type of Contract: Temporary Job Status: Full-time Hours Per Week: 37.5 Offer Starting Date: 1 Oct 2026 Is the job funded through the EU Research Framework Programme?: Not funded by…
a EU programme Reference Number: EP/X038645/1 Is the Job related to staff position within a Research Infrastructure?: No
Offer Description
About the role
Our group invites applications by highly talented researchers of outstanding ability for a Research Associate position in General Framework for Nonequilibrium Processes: From Theory to Applications as part of the ERC Advanced Grant/UKRI Frontier Research "Machine-Aided General Framework for Fluctuating Dynamic Density Functional Theory (MAGFFDDFT)". You will lead the overarching phase of this cutting-edge project, that transitions its computational-theoretical developments into targeted practical applications.
What you would be doing
The overarching objective of the MAGFFDDFT project is to develop a machine-learning-aided framework that establishes low-dimensional laws governing the dynamics of observables. You will apply this framework to analyse classical fluids, and complex multiscale systems in general, far from equilibrium.
Specifically, you will lead the project's third core theme: applying our newly developed theory and machine learning (ML) methodologies to challenging, targeted applications.
What we are looking for
You should have (or about to receive) a PhD in Applied Mathematics, Engineering, Physics, or other related field, and a strong foundation and proven record in general mathematical modelling, mathematical techniques (analytical – numerical), scientific computing and numerical methods.
Experience or good knowledge with some or all of the following areas is highly desirable: computational and applied mathematics, especially numerical and applied analysis of partial differential equations (PDEs)/stochastic PDEs and stochastic processes, and physics, especially fluid dynamics and statistical physics.
What we can offer you
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.
The post also offers a unique opportunity to advance your career at a world-leading institution and be part of its mission to continue science for humanity, and of its diverse, inclusive and collaborative work culture.
Further information
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 Complex Multiscale Systems Group of the Department of Chemical Engineering at Imperial College London (South Kensington Campus).
Informal enquiries can be made to Professor Serafim Kalliadasis (s.kalliadasis@imperial.ac.uk).
To apply, please visit our website: https://www.imperial.ac.uk/jobs/. You will find this vacancy by searching either for the position title or job number: ENG04000. 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 Leah Grey (chemeng.staffing@imperial.ac.uk).
Where to apply
Website: https://www.imperial.ac.uk/jobs/
Requirements
- Research Field: Engineering - Education Level: PhD or equivalent
- Research Field: Computer science - Education Level: PhD or equivalent
- Research Field: Mathematics - Education Level: PhD or equivalent
- Research Field: Physics - Education Level: PhD or equivalent
Skills/Qualifications: You should have (or about to receive) a PhD in Applied Mathematics, Engineering, Physics, or other related field, and a strong foundation and proven record in general mathematical modelling, mathematical techniques (analytical – numerical), scientific computing and numerical methods.
Specific Requirements: Experience or good knowledge with some or all of the following areas is highly desirable: computational and applied mathematics, especially numerical and applied analysis of partial differential equations (PDEs)/stochastic PDEs and stochastic processes, and physics, especially fluid dynamics and statistical physics.
Languages: English - Level: Good
Years of Research Experience: 1 - 4
Additional Information
Benefits
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.
The post also offers a unique opportunity to advance your career at a world-leading institution and be part of its mission to continue science for humanity, and of its diverse, inclusive and collaborative work culture.
Website for additional job details: https://www.imperial.ac.uk/jobs/
Work Location(s)
Number of offers available: 1
Company/Institute: Imperial College
Country: United Kingdom
State/Province: London
City: London
Postal Code: SW7 2AZ
Street: Exhibition Road
Contact
State/Province: London
City: London
Website: https://www.imperial.ac.uk/chemical-engineering/
Street: South Kensington Campus
Postal Code: SW7 2AZ
E-Mail: s.kalliadasis@imperial.ac.uk
Phone: 02075941373
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