Research Associate - ML-Driven Nonequilibrium Dynamics

Imperial College London; United Kingdom; On-site; GBP 40,000 - 50,000; Full time

Job summary

Imperial College London invites applications for a Research Associate position in the General Framework for Nonequilibrium Processes. You will lead the project’s computational-theoretical developments and work on translating them into practical applications within the MAGFFDDFT initiative.

You will apply machine-learning aided frameworks to analyze classical fluids and multiscale systems far from equilibrium, focusing on the third core theme of applying new theory and ML methods to targeted

Qualifications

• PhD in Applied Mathematics or related field required.
• Strong foundation in mathematical modelling and numerical analysis.
• Experience with scientific computing and PDEs is highly desirable.

Responsibilities

• Lead the MAGFFDDFT project core theme and apply ML methodologies to applications.
• Develop and analyse low-dimensional laws governing dynamics of observables.
• Collaborate with interdisciplinary team and communicate results.

Skills

Mathematical Modelling

Numerical Methods

Scientific Computing

Machine Learning

Education

PhD in Applied Mathematics

Job description

Imperial College London invites applications for a Research Associate position in the General Framework for Nonequilibrium Processes. You will lead the project’s computational-theoretical developments and work on translating them into practical applications within the MAGFFDDFT initiative.

You will apply machine-learning aided frameworks to analyze classical fluids and multiscale systems far from equilibrium, focusing on the third core theme of applying new theory and ML methods to targeted