UNIVERSITY OF CAMBRIDGE
DEPARTMENT OF APPLIED MATHEMATICS AND THEORETICAL PHYSICS

POSTDOCTORAL RESEARCH ASSOCIATES IN INVERSE PROBLEMS AND DEEP LEARNING FOR CANCER IMAGING (TWO POSTS)
For more info, please visit: http://www.jobs.cam.ac.uk/job/23464/

Salary: £32,816-£40,322 per annum

Limit of tenure: two years

Closing date: 15 November 2019

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A vacancy exists for two Post-Doctoral Research Associates in the Department of Applied Mathematics and Theoretical Physics to work on the development of image reconstruction and image analysis methods for a novel end-to-end pipeline for cancer imaging diagnosis and treatment planning, within the Wellcome Trust project ‘All in one cancer imaging optimisation using an integrated mathematical and deep learning approach’.

This project is a collaborative project between mathematicians in Cambridge and the Alan Turing Institute, medical researchers and clinicians from Addenbrookes Hospital and Siemens. The role of this position will be to design and implement novel, cutting-edge image reconstruction and image analysis methods for Computed Tomography, to develop an end-to-end pipeline for cancer imaging diagnosis and treatment planning. This is an exceptional opportunity to conduct ambitious research whilst collaborating with an international and interdisciplinary team for designing novel developments in machine learning and inverse problems for cancer imaging.

The successful candidates will be part of the Cambridge Image Analysis (CIA) Group. For more information see Further Particulars.

We are looking for two excellent and ambitious postdoctoral researchers who want to join this research endeavour. The successful candidates will have:
a. A PhD degree in mathematics or a closely related subject;
b. Experience in one or more of the following: inverse imaging problems, variational reconstruction approaches, deep learning and (bio-) medical imaging;
c. Substantial experience in programming languages e.g. Python, C, R or MATLAB;
d. Strong communication skills, team player and organisation skills.

The post carries no teaching or administrative duties. There are generous funds available under the project for attending conferences and conducting research visits.

Informal inquiries can be made by contacting Prof Carola-Bibiane Schönlieb (LE20923@maths.cam.ac.uk).

For further information on the project and instructions on how to apply, please visit: http://www.jobs.cam.ac.uk/job/23464/

Interviews are expected to be held in the week commencing 25 November 2019.

The start date of the appointment will be 1 January 2020 or by mutual agreement.

Please quote reference LE20923 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our Department.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.