Postdoctoral researcher in machine learning for healthcare
NDPH, Old Road Campus, Headington, Oxford
Grade 7: £33,309 - £40,927 p.a.
The Nuffield Department of Population Health contains world renowned
population health research groups and provides an excellent environment for
multi-disciplinary research and teaching. The Nuffield Department of
Population Health (NDPH), a key partner in the Big Data Institute (BDI),
contains world-renowned population health research groups and is an excellent
environment for multi-disciplinary teaching and research.
We are looking for a Postdoctoral Researcher to conduct reproducible machine
learning analyses of time-series wearable sensor data. In this role you will
be supported to conduct reproducible machine learning analysis of time-series
wearable sensor datasets, maintain accurate and comprehensive records of data
analyses, code developed and methods used, contribute to the preparation of
scientific reports and journal articles and represent the group at external
meetings and seminars. You will also become a member of the Computational
Health Informatics Lab led by Professor David Clifton at the Institute of
Biomedical Engineering. There will be exciting opportunities to translate your
research beyond academia, where you will closely collaborate with the genetics
team led by Joanna Howson at the Novo Nordisk Research Centre Oxford.
To be considered you will hold, or be close to completion of a DPhil/PhD in
machine learning, health data science, statistics, bioinformatics, or a
closely related field and an excellent understanding of common machine
learning methods (e.g. Random Forests, Convolutional Neural Networks,
Recurrent Neural Networks) and of the programming approaches. You will also
have experience of applying machine learning methods to real clinical
The position is full time (part time considered) and fixed-term for 1 year.
The closing date for application is 12.00 noon on 29th September 2021.
Contact Person : HR Assistant Vacancy ID : 152762
Contact Phone : 01865743631 Closing Date & Time : 29-Sep-2021 12:00
Contact Email : email@example.com