Deep Learning for Inverse Scattering Problems at Brunel University London on FindAPhD.com

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities

Dr S Shaw, Prof S Langdon Applications accepted all year round Self-Funded PhD Students Only

Add
to
shortlist

Remove
from
shortlist

London United Kingdom Applied Mathematics Data Analysis Operational Research Computer Science Mathematics Statistics

About the Project

This research project is focused on objects that scatter fields. The field may be electromagnetic, acoustic or elastic. When an incident probing field is launched into a medium that contains an object, that object will disturb the field and scatter it. This disturbance can be detected and one can hope to use the detected signal to identify properties of the scattering object. This project will explore the use of Deep Learning to use these signals to determine the shape of the object.

Applicants will be required to:

Demonstrate knowledge of elliptic partial differential (e.g. Helmholtz) equations.
Demonstrate experience in scientific computing (e.g. Matlab, Python, C/C++).
Configure and use off the shelf software.

Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or similar discipline, and to meet English language requirements. A Postgraduate Masters degree is not required but may be an advantage.

Experience in Scientific Computing, Applied Mathematics and Partial Differential Equations is essential and experience in Python, Machine Learning, Unix and/or GNU/Linux is an advantage. You’ll also need a willingness to embrace a wide variety of both established and emerging areas in applied and computational maths, data science, artificial intelligence and machine learning. In addition, you should be highly motivated, able to work in a team, collaborate with others and have good communication skills.

Your application should address your experience and competencies to date in all of the areas mentioned above.

Funding Notes

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.