Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Deep Learning for Inverse Scattering Problems


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

Click here to search for PhD studentship opportunities
  Dr S Shaw, Prof S Langdon  Applications accepted all year round  Self-Funded PhD Students Only

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.


Computer Science (8) Mathematics (25)

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: 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%.

How good is research at Brunel University London in Mathematical Sciences?

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.