Computer Science

Location: Guildford
Salary: £35,308 to £38,474 per annum
Fixed Term
Post Type: Full Time
Closing Date: 23.59 hours BST on Monday 12 June 2023
Reference: 027723

The Department of Computer Science at the University of Surrey seeks to recruit an outstanding post-doctoral researcher in the field of machine learning for medical imaging for a full-time position as soon as possible. The post is part of the NIHR-funded project “AI-assisted Automatic Dental Disease Detection with Radiography”. The post is fixed-term for up to 30 months or until 30th November 2025, whichever is shorter, due to project funding. The expected start date of the project is June 2023.

The main responsibility of the post holder will be the development of machine learning techniques to detect dental diseases based on dental radiographs. Specific duties include the development of multi-object detection algorithms to recognise abnormalities in dental radiographs, Bayesian deep learning models to quantify uncertainty in predictions, and a software prototype for demonstration. The post holder will benefit from the research environment provided by the Nature-Inspired Computing and Engineering (NICE) group in the Department of Computer Science at the University of Surrey. Our research is impact-driven and has received media coverage from MIT Technology Review, The Guardian, BBC, etc.

Applicants should hold a relevant PhD/DPhil (or be near completion) degree with experience in machine learning, computer vision, or statistical signal processing. More details about this post can be found in the attached job description.

Please submit your CV and a covering letter with your application.

Further details: Job Description

Please note, it is University Policy to offer a starting salary equivalent to Level 3.6 (£34,314) to successful applicants who have been awarded, but are yet to receive, their PhD certificate. Once the original PhD certificate has been submitted to the local HR Department, the salary will be increased to Level 4.1 (£35,308).