PhD Position in Machine Learning and Classical Simulation

5 days ago


Cambridge, Cambridgeshire, United Kingdom University of Cambridge Full time

**About the Project**

This PhD research project focuses on developing innovative hybrid technologies that merge machine learning and classical simulation techniques to enhance computational speed and accuracy. As part of this project, you will explore the application of Neural Operators for efficient learning-based PDE solvers on simplified domains, combined with domain decomposition strategies.

**Estimated Salary:** £24,500 - £28,500 per annum (dependent on experience)

**Responsibilities:** The successful candidate will work closely with a multidisciplinary team to advance this project, contributing to the design, implementation, and evaluation of novel hybrid simulation methods. This role requires excellent communication and collaboration skills, as well as the ability to adapt to changing priorities and deadlines.

**Requirements:** To be eligible for this position, you must hold a Bachelor's or Master's degree in a relevant field, such as Engineering, Machine Learning, or Applied Mathematics. Experience with Python programming and neural networks is also essential. Furthermore, you should possess strong analytical and problem-solving skills, as well as the ability to work independently and as part of a team.

**Career Development Opportunities:** Throughout this project, you will have the chance to develop your skills in advanced computational methods, machine learning techniques, and collaboration with industry partners. You will also gain valuable experience working in a multidisciplinary team and contributing to cutting-edge research.



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