UCL is one of the foremost universities in Britain and the world. The Department of Medical Physics & Biomedical Engineering is proud to host internationally-leading research groups covering a broad range of activities and spread over several sites. Our staff and students have a diverse range of interests and expertise, covering many areas of physics, engineering, medicine, physiology, computer science, and mathematics. This provides a highly stimulating multidisciplinary environment for learning and for scientific research. In addition to our research activities, we run a variety of undergraduate and graduate degree programmes. We are now seeking to appoint a Research Fellow (PDRA) with two purposes. First, to improve our reconstruction tools using deep learning based registration techniques, in order to produce an accurate 3D atlas. And second, to collaborate in the development of segmentation techniques that apply the atlas to the automated analysis of in vivo MRI scans. The latter task involves assisting Dr. Iglesias in the supervision of a doctoral student who is working on a related task. This project provides an exciting opportunity at the interface between histology, neuroscience, biomedical imaging, computer vision and statistics, with a huge potential imaging in the neuroimaging field. The postholder will be expected to produce implementations that will be made publicly available to the research community, as part of the widespread package FreeSurfer. The post holder will be integrated with the UCL Centre for Medical Image Computing (CMIC), which will be soon co-located with the new UCL AI Centre on High Holborn. In addition, the postholder will have the opportunity of visiting labs at MIT and the Martinos Center (MGH/Harvard Medical School) in Boston, where Dr. Iglesias holds affiliate / part-time appointments. Starting date is flexible but would ideally be September 2019 at the latest. The position is for 2 years in the first instance.
Applicants must have a PhD or about to submit a PhD or equivalent research experience in biomedical image analysis. Good publication track record in top medical imaging journals and conferences (IEEE-TMI, Medical Image Analysis, MICCAI, IPMI) and Strong expertise in programming or using high-level languages or packages (e.g. C/C++, Matlab). Experience with deep learning packages (e.g., TensorFlow, Keras, PyTorch) and Background in Bayesian inference are desirable. Appointment at Grade 7 is dependent upon having been awarded a PhD. Or if about to submit a PhD, the appointment will be at Grade 6B (£30,922 - £32,607 salary, inclusive of London Allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
Further information about the Department of Medical Physics and Biomedical Engineering can be found here https://www.ucl.ac.uk/medical-physics-biomedical-engineering/
For further details about the vacancy and how to apply online please go to https://www.ucl.ac.uk/human-resources/working-ucl/jobs-ucl
and search on Reference Number 1803717.
For informal queries about the position, please contact Dr Juan Eugenio Iglesias [email protected]
. If you have any queries regarding the application process, please contact Tracy Pearmain on [email protected]
Closing Date: 1/6/2019
Latest time for the submission of applications: 23:59
Interview Date: TBC
UCL Taking Action for Equality
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.
To apply click here https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1803717