Vacancies

UCL Department / Division: UCL Medical Physics and Biomedical Engineering

Grades: 7-8

Hours: Full Time

Salary: (inclusive of London allowance) £34,635 - £41,864 / £43,023 - £50,753 per annum

 

Duties and Responsibilities

This is an exciting opportunity for an enthusiastic researcher with skills in computational image analysis and software development to join an internationally leading university research group. The aim of the project is to have an active role in the development, integration and translation of novel image analysis techniques for fetal surgery (see the GIFT-Surg project website for more detail www.gift-surg.ac.uk).

 

We are seeking a post-doctoral research associate to work on developing advanced computational modelling techniques to analyse fetal imaging for guiding surgical planning, and predicting surgical and functional outcome. As part of their role, the candidate will develop techniques for analysing novel MRI imaging data, correcting motion artefacts and establishing in utero biomarkers of function and outcome. The candidate will also be in charge of integrating the developed algorithms into our open-source software platforms. The project is ambitious and widely scoped and therefore there will be exciting opportunities to link advanced medical image computing with the unmet clinical need for accurate surgical planning and precise analysis of outcome.

 

The post is funded for 2 years in the first instance.

 

Key Requirements

The successful candidate must have a PhD in computer vision, medical image computing, biomedical engineering, or a comparable subject and a Strong expertise in programming high-level languages (e.g. C/C++, python, Matlab).

The candidate must specialise in at least two of the following areas:

  • Computational mode
  • Quantitative imaging
  • Fetal or Neonatal MRI
  • Machine learning
  • Medical image computing
  • Use of medical image computing/ machine learning libraries and tools (e.g. ITK, scikit-learn, OpenCV)

 

And experience of publishing high quality research results.

 

Further Details

 

Please visit the UCL HR Portal to download the full JD and applications details

 

Application deadline: 23.59, 26 Nov 2017