Post-Doctoral Research Associate in Deep Learning for Surface-to-Volume Alignment of Multi-Modality
The Department of Biomedical Engineering, King’s College London, seeks a Research Associate to work with Dr Emma C. Robinson on the development of novel Deep Learning and Image Processing algorithms for precision registration of multimodality brain scans.
This 3-year post, to commence early 2020, is funded by a Wellcome Trust Collaborative Award shared between King’s College London, the Wellcome Centre for Integrative Neuroimaging, University of Oxford, and the Donders Institute, Nijmegen. Successful applicants will work under the supervision of PIs from two or more institutions on the grant.
Employment would ideally start early 2020 and during this time, the post-holder will be responsible for:
- Developing learning-based solutions to cortical surface-constrained volumetric brain image registration.
- With integration of multimodal imaging sources, including structural, functional and diffusion MRI, in order to enhance correspondence across modalities.
- And exploration of new techniques for precision modelling of cortical organisation to support robust population-level comparisons of the data.
Applicants will be expected to hold a PhD (or be close to completion) in a relevant computational domain. A track record in medical image processing and/or machine learning, with strong proficiency in Python, or C/C++) is highly desirable.