UCL Institute of Ophthalmology


New Research Fellow vacancy at IoO & Health Informatics

4 September 2020

The main focus of the collaborative is to develop deep learning tools for prediction of disease progression on an individualized-level and development of methods to handle high intra-disease and inter-subject heterogeneity.

Inside picture of an eye

Job Details

The successful applicant will have access to the resources present within the UCL community, as well as the specialty skills of colleagues within the Institute of Ophthalmology, Moorfields Eye Hospital and Institute of Health Informatics.

With significant data and labels already available, the successful applicant will have the ability to quickly get to work with several publications quickly achieved.

The position is funded for a period of 18 months in the first instance.

Key Requirements

Essential criteria for this post is a PhD in a relevant quantitative field with research experience in deep learning, machine learning and computational statistics on healthcare, medical image and longitudinal data. Desired criteria include previous experience working with retinal images and development of methods to deal specifically with intra-cohort heterogeneity.

Skills include working with image or computer vision based toolkits, development of multimodal, multidata type models and data-driven longitudinal statistical analysis.

Further Details

Please ensure you attach your CV and list of publications. You should also provide a personal statement to support your application.

Informal enquiries about the post may be made to Dr Lilaonitkul or Dr Dubis (email: watjana.lilaonitkul.16@ucl.ac.uk; a.dubis@ucl.ac.uk).

If you have any enquiries regarding the application process please email: hr.ioo@ucl.ac.uk.

Closing Date

4 October 2020

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