Research Fellow in Computational Inverse Problems, - Ref:1817448 

UCL Department / Division: Computer Science

Location of position:  London

Grade: 7

Hours: Full Time

Salary (inclusive of London allowance): £35,328 - £42,701 per annum

Duties and Responsibilities

The post is to be held within Department of Computer Science at University College London, and supported by an EPSRC project. The main duties of the post are to develop a mathematical and computational framework for stochastic iterative methods for challenging inverse problems, e.g., optical tomography, and to validate the methods with numerical experiments. 

The funding duration for this post is 3 years.

Key Requirements

The successful candidate should have a PhD degree (completed or close to completion) in applied mathematics, imaging, machine learning or related fields, with expertise in one of the following areas: inverse problems, PDE constrained optimization, numerical analysis and numerical methods for PDEs, and strong programming skills.


Further Details: A job description and person specification can be accessed at the following link:

To apply for the position, you can apply at the above link or send your cover letter, cv and the names of two referees and their contact emails (one is PhD supervisor) to Dr. Bangti Jin via the email (

If you have any queries regarding the vacancy or the application process, please contact Dr. Bangti Jin via email

UCL Taking Action for Equality

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

Closing Date

August 31, 2019


Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.