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 (b.jin@ucl.ac.uk).
If
you have any queries regarding the vacancy or the application process, please
contact Dr. Bangti Jin via email B.Jin@ucl.ac.uk.
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.